Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX three times per week, at minimum [or other frequency dictated by the business if more than 3 days].

The Role

Join our GPSC Insight Engineering team, responsible for ideating, incubating, and delivering new data solutions for global purchasing supply chain (GPSC) and our partners.

As a Senior Data Engineer, you will design, build, and optimize industrialized data assets and data pipelines in support of Business Intelligence and Advanced Analytics objectives. In this role within the GPSC Insights Engineering organization under the Data organization, you will deliver high-quality, scalable solutions that meet both functional and non-functional business requirements. You will contribute to projects across databases, streaming technology, CI/CD, and cloud platforms.

This is a senior-level role that blends strong data engineering skills with modern software engineering practices. You will help lead and deliver innovative, scalable, and maintainable data-driven solutions—writing high-quality, tested, production-ready code that meets customer needs and scales without rework. You will work in a collaborative, cross-disciplinary environment, handle complex challenges, contribute to architectural discussions, and help shape solutions that improve performance, scalability, and maintainability, while also ensuring alignment with business priorities.

What You’ll Do

• Assemble large, complex data sets that meet functional and non-functional business requirements.
• Identify, design, and implement process improvements, including automation, data delivery optimization, and infrastructure redesign for scalability.
• Lead and deliver data-driven solutions across multiple languages, tools, and technologies.
• Contribute to architecture discussions, solution design, and strategic technology adoption.
• Build and optimize highly scalable data pipelines incorporating complex transformations and efficient code.
• Design and develop new source system integrations from varied formats (files, database extracts, APIs).
• Design and implement solutions for delivering data that meets SLA requirements.
• Work with operations teams to resolve production issues related to the platform.
• Apply best practices such as Agile methodologies, design thinking, and continuous deployment.
• Develop tooling and automation to make deployments and production monitoring more repeatable.
• Collaborate with business and technology partners, providing leadership, best practices, and coaching.
• Mentor peers and junior engineers; educate colleagues on emerging industry trends and technologies.

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent experience
• 7+ years of data engineering/development experience, including Python or Scala, SQL, and relational/non-relational data storage. (ETL frameworks, big data processing, NoSQL)
• 3+ years of experience in distributed data processing (Spark) and container orchestration (Kubernetes)
• Proficiency in data streaming in Kubernetes and Kafka
• Experience with cloud platforms – Azure preferred; AWS or GCP also considered.
• Solid understanding of CI/CD principles and tools
• Familiarity with big data technologies such as Hadoop, Hive, HBase, Object Storage (ADLS/S3), Event Queues.
• Strong understanding of performance optimization techniques such as partitioning, clustering, and caching
• Proficiency with SQL, key-value datastores, and document stores
• Familiarity with data architecture and modeling concepts to support efficient data consumption
• Strong collaboration and communication skills; ability to work across multiple teams and disciplines.

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Master’s degree in Computer Science, Software Engineering, or related field
• Knowledge of data governance, metadata management, or data quality/observability
• Familiarity with schema design and data contracts
• Experience handling various file formats (video, audio, image)
• Experience with Databricks, Snowflake, or similar platforms
• Experience designing and implementing robust data ingestion frameworks for heterogeneous data sources (structured/unstructured files, external suppliers, supplier chain systems).

This job may be eligible for relocation benefits.

Compensation:

• The expected base compensation for this role is: $134,000 - $219,400. Actual base compensation within the identified range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

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About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The AV Pipelines & Lineage team at GM builds core infrastructure that supports the end-to-end AI lifecycle of ML pipelines—from local experimentation and large-scale training to evaluation, lineage tracking, and operational visibility. Our platforms span both backend systems and user-facing interfaces, enabling ML engineers and researchers to develop, understand, and evolve models efficiently across diverse environments.

The Role:

As a Senior AI/ML Engineer, you will focus on designing and implementing scalable ML infrastructure solutions. You will take ownership of key technical projects, provide mentorship to junior engineers, and collaborate across teams to solve complex problems. This is an individual contributor role emphasizing deep technical impact rather than leadership of large teams.

Note: This role is part of an ML infrastructure engineering team and does not involve applying machine learning models for specific tasks. The focus is on developing infrastructure products that empower GM teams to perform machine learning and data science at scale.

What you’ll do

• • Design & Implementation: Utilize the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud.

• Project Ownership: Take ownership of technical projects from inception to completion, contribute to the product roadmap, and make informed decisions on major technical trade-offs.

• Collaboration: Engage effectively in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams while proactively managing conflicts.

• Mentorship & Recruitment: Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing.

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Your Skills & Abilities (Required Qualifications)

• • 5+ years of experience, with a strong background in large-scale distributed systems preferred.

• 1+ years of experience leading and driving large-scale initiatives.

• Proficiency in building scalable infrastructure on the cloud using Python, C++, Golang, or similar languages.

• Experience working with relational and NoSQL databases.

• Demonstrated ability to develop and maintain systems at scale.

• A Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience.

• A passion for autonomous vehicle technology and its transformative potential.

• Strong attention to detail and a commitment to accuracy.

• A proven track record of efficiently solving complex problems.

• A startup mentality with a willingness to embrace uncertainty and wear multiple hats.

What Will Give You a Competitive Edge (Preferred Qualifications)

• • Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services.

• Experience with open-source orchestration platforms such as Kubeflow, Flyte, Airflow, etc.

• Experience with Kubernetes.

• Understanding of Machine Learning (ML) models/pipelines.

• Python/C++/Golang proficiency.

• Relevant publications

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is $155,420 to $395,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Relocation: This job may be eligible for relocation benefits.

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

About the Team:

The AI Validation Platform team owns the cloud-agnostic, reliable, and cost-efficient platform that powers GM’s AV efforts. We’re proud to serve as the infrastructure platform for teams developing autonomous vehicles (L3/L4/L5). Our platform supports the simulated validation of state-of-the-art (SOTA) machine learning models, with a focus on performance, availability, concurrency, and scalability. We enable rapid innovation and development by prioritizing high-impact, ML-centric use cases.

About the Role:

We are seeking a Senior ML Infrastructure engineer to help build and scale robust Compute platforms for Simulation workflows. In this role, you will focus on scaling, driving efficiency, and high utilization of cutting-edge GPUs, while also leveling up the platform’s reliability. The successful candidate will have experience building and running scalable distributed systems. They will rapidly test and promote ideas, have strong problem-solving skills, and demonstrate a bias for action.

You will play a key role in shaping the architecture, roadmap, and user experience of a robust service supporting our AI Validation / Simulation needs. The ideal candidate brings experience in designing distributed systems, strong problem-solving skills, and a get-it-done attitude. This is a high-impact opportunity to influence the future of AI infrastructure at GM.

What you’ll be doing:

• Design and implement core platform backend software components.

• Collaborate with Simulation engineers, ML engineers and researchers to understand critical workflows, parse them to platform requirements, and deliver incremental value.

• Lead technical decision-making on Compute architecture, cloud capacity provisioning, caching, and auto-scaling mechanisms.

• Drive the development of monitoring, observability, and metrics to ensure reliability, performance, and resource optimization.

• Proactively research and integrate frameworks, hardware accelerators, and distributed computing techniques.

• Lead large-scale technical initiatives across GM’s ML infrastructure.

• Raise the engineering bar through technical leadership and by establishing best practices.

At a Minimum We'd Like You To Have

• 4+ years of industry experience, with a focus on high performance backend services.

• Strong expertise in Go, or other similar coding languages.

• Experience working with cloud platforms such as GCP, Azure, or AWS.

• Experience in delivering cross-functional initiatives.

• Strong communication skills and a proven ability to drive cross-functional initiatives.

• Ability to thrive in a dynamic, multi-tasking environment with ever-evolving priorities.

It's Preferred If You Have

• Hands-on experience with Cloud VM services Google Compute Engine.

• Experience with hardware-in-the-loop validation systems.

• Experience with high performance computing (HPC).

• Experience working with or designing interfaces and clients for developer workflows.

• Familiarity with telemetry, and other feedback loops to inform product improvements.

• Familiarity with hardware acceleration (GPUs) and optimizations.

Why Join Us?

If you’re excited to tackle some of today’s most complex engineering challenges, see the impact of your work in real-world AV applications, and help shape the future of AI infrastructure at GM—this is the team for you.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role

We’re seeking a passionate and experienced Senior Performance Engineer in development to own Overall Performance of our systems and solution , leading optimization of software and systems to improve site speed, support scalability , reliability and stability , analyzing metrics based on access to different monitoring tools and working with the respective engineer development teams and architects to design and implement solutions to improve overall site and systems performance ( including but not limited to Web Sites, APIs , Database queries and definition of caching strategies) and lead execution of performance and load tests to validate results and prevent performance degradations.

You will be responsible for helping lead our engineering efforts through planning, design and architecture, execution, and ramp. As a technical leader on the team, you will be able to help mentor less experienced engineers, build strong relationships with technical leaders on other teams, and facilitate a strong team culture, applying best practices on Performance Engineering.

What You’ll Do

• Own the performance observability for production and lower environments, identifying and acting on concerning trends.
• Develop competency across our complete web technologies stack (client, framework, and services)
• Weigh architectural trade-offs and apply synchronous and asynchronous design patterns
• Monitor, assess and analyze the holistic performance of the application with benchmarking tools.
• Identify bottlenecks, lead root cause analysis, collaborate with developers, automate processes and ensure proper tools to ensure systems meet performance requirements from design to deployment
• Own and enhance performance coverage by consulting with developers to identify areas for improvement and expansion
• Investigate and diagnose performance issues to identify the root cause of the problems
• Clearly document performance results and share actionable insights with developers
• Develop datasets and workloads that accurately represent the Production environment
• Analyze the CPU utilization, Memory usage, Network Usage, Garbage collection and DB Reports to verify application performance
• Research and implement best practices, methodologies and tools for performance testing
• Explore and pitch product ideas and tech initiatives with cross functional teams
• Drive UI performance optimization and ensure cross-browser compatibility
• Stay current with emerging technologies and trends and evaluate their potential for adoption
• Mentor junior team members and contribute to team growth and development

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in computer science or related field
• 5+ years of experience in Performance engineering and scalability engineering for cloud-hosted applications.
• Strong proficiency with performance tools like K6, JMeter.
• Strong knowledge of monitoring and observability tools like Data dog, Grafana, Dynatrace.
• Strong proficiency in scripting languages (ex: Java, JavaScript, Python)
• Strong technical knowledge of virtualization, storage and networking.
• Proficiency in profiling all layers of the Technology stack (Software, OS, network) and optimizing complex applications
• Expertise knowledge in Cloud & Container Ecosystem (Azure, Docker, Kubernetes)

What Will Give You A Competitive Edge (Preferred Qualifications)

• Master’s degree in computer science or related field
• Hands-on experience with Chaos Engineering tools like Gremlin
• Hands-on experience with Caching layer performance tuning
• 5+ years of experience in performance engineering, with a proven track record of optimizing system performance across complex environments.
• Excellent communication and collaboration skills, with the ability to work effectively with developers, product managers, and business stakeholders.
• Deep expertise in database performance tuning, with a focus on optimizing complex SQL queries.
• Strong analytical skills for identifying root causes of performance issues and resolving code-level bottlenecks.
• Hands-on experience with observability and monitoring tools; proficiency with Datadog is highly preferred.
• Proficient in a variety of industry-standard performance testing tools such as K6, NeoLoad, BlazeMeter, and LoadRunner.

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This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Work Arrangement:

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum.

The Role

In this role, Senior Hardware Design Engineer – Low Voltage Electric Power, you will be responsible for Hardware Design & Execution for any variety of components in the electric power space (e.g. Power Distribution Units, Battery Management Systems, Power Convertors, Inverters, etc.) and develop and/or improve hardware development process with center of expertise. You will work with cross functional teams (semiconductor, DREs, GM software, PCB layout, Mechanical Engineering, Supplier, Validation) to deliver quality product on time.

You will effectively achieve program milestones by thorough and effective program management.

I am seeking a high performing independent engineer to develop winning execution strategies, oversee solutions, resolve issues, and deliver continuous improvement for electric power components considering quality, cost, and timing.

What you'll do:

• Collaborate with other teams, such as software, diagnostic, mechanical, and manufacturing teams, and strategize with Tech Specialists, DRE’s, and Safety to ensure seamless integration of electrical hardware designs into the overall product.
• Lead embedded designs for advanced module architectures.
• Lead new IC design/development strategic to advanced in-vehicle architectures
• Lead electrical schematic design and PCB layout
• Optimize proposed electrical hardware designs, considering factors such as cost, performance, reliability, and manufacturability.
• Support next generation designs in digital/analog hardware including Gig+ ethernet, processors, memory, eFuse, FET, HSD/LSD, various semi associated within electric power components
• Perform/Review electrical worst-case analysis, Power distribution Analysis, Component selection and compatibility Analysis, Environment Analysis, EMC analysis, Weibull and other component robustness analysis
• Represent the GM HW team as design expert in the core technologies developed among the team
• Optimize design and verification tests/analysis for electronic circuit design including five-point parametric tests and define/implement end of line production tests
• Lead development process for either supplier owned or inhouse designs with production build team ensuring quality documentation (PFMEA, Control Plans, monitoring systems, EOL).
• Continuous Improvement mindset by refining/optimizing requirements per KPIs with Electric Power team
• Maintain component Hardware Design deliverables e.g., Block Diagram, Schematics, PCB layout, etc.
• Lead Peer Reviews and resolve issues (e.g. integration, interfaces, systemic issues)
• Support formal change control and ISO9001quality standards for Engineering Change Request (ECR) of components and appropriate documentation of design and process.
• Support Assembly Plant issue resolution
• Provide technical leadership for rapid issue resolution and root cause analysis
• Support Product Investigations (SFI Process)
• Lead Cost Reduction initiatives from evaluation to implementation
• Provides direction to Design Release Engineers (DREs) in product development team meeting
• Create and maintain Best Practices
• Demonstrated ability to work cross-functionally within the electric power team and across other SMTs.
• Ensure all Key Performance Indicators (i.e., piece cost, investment, mass, base engineering content, performance, and IPTV) are met.
• Develop/Review/Approve all In-process Electrical verification for a component validation (includes component software verification) collaborating with DREs and others to ensure the plan is executed in time to meet program imperatives.
• Develop new or improve analysis / simulation or testing to improve KPIs and incorporate into standard validation plans.
• Provide engineering expertise in Formal Design, Peer and Quality Valve reviews to ensure robust engineering designs and processes.
• Support vehicle integration activity for pre-production and production vehicles
• Lead/participate in issue resolution for design and development issues, ECU warranty analysis, parts restriction and report updates as required to Engineering and Vehicle Team leadership
• Lead/support DFMEA/PFMEAs/control plans/End of Line testing/APQP development/ Lean manufacturing/ 8D issue resolution/ compliance to ISO9001 and TS16949 compliance.

Your Skills & Abilities (Required Qualifications)

• Bachelor of Science in Engineering Required. Masters degree preferred
• Professional experience creating digital/analog HW interfaces including schematic creation and/or PCB layout & supportive documentation
• Minimum 7+ years working experience in automotive hardware electronics design
• Experience in design & analysis tools like Mentor Graphics (schematic and layout) Mathcad, PSpice and Saber
• High speed Communication Buses (Ethernet, SPI, I2C, IsoSPI, UART, PCIe, SerDes…)
• In-depth knowledge of Low voltage power distribution (eFuse, FET, Thermal, Li-Ion Battery, DC/DC converter)
• In-depth knowledge of requirements engineering process (FMEA, Preliminary Hazard Analyses)
• In-depth knowledge of regulatory requirements (EMC, Environmental durability, Electrical, robustness, Signal integrity and noise mitigation, etc.)
• In-depth knowledge of verification and validation processes
• In-depth knowledge of embedded software development, testing and associated tools
• Understanding of hardware design and failure mode
• Understanding of engineering theory and principles of operation of mechanical/electrical mechanisms
• Thorough knowledge of design development and test engineering, manufacturing and assembly operations, engineering processes and procedures.
• Highly developed oral and written communications skills
• Demonstrated ability to work cross-functionally within Electrical and across other SMTs.
• Demonstrated problem solving ability.
• High level of interpersonal skills to work effectively with others, motivate employees, and elicit work output
• Very high level of analytical problem-solving skills where problems are very unusual and extremely difficult.

What Will Give You A Competitive Edge (Preferred Qualifications)

• Previous industry experience with compute, connectivity, Body, or low voltage distribution
• Manufacturing and assembly experience of electronic components

Additional Information:

This job may be eligible for relocation benefits.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

We are seeking a Staff Systems Engineer to join the Vehicle Systems Engineering organization, focused on Low Voltage (LV) vehicle systems, supporting the new Software-Defined Vehicle (SDV) architecture and 12V system design thinking across the vehicle. This role operates in a highly complex technical space with significant cross-domain dependencies spanning software, hardware, electrical architecture, validation, and virtual environments.

The ideal candidate is comfortable working in ambiguous problem spaces, can navigate evolving requirements, and is able to establish themselves as a technical leader by driving clarity, alignment, and robust system solutions. You will translate high-level product intent into scalable, testable system architectures using Model-Based Systems Engineering (MBSE), while influencing technical direction across programs and organizations, including helping shape and influence future SDV and Low Voltage (LV) architecture direction.

What You’ll Do:

• Lead system-level architecture, definition, and integration of Low Voltage vehicle systems using MBSE.
• Decompose product and program intent into system models, functional architectures, and testable software and hardware requirements.
• Develop and maintain system blueprints, including functional decomposition, logical architectures, interface definitions, requirements, allocations, and FMEAs.
• Own and evolve MBSE artifacts, such as functional models, use-case, activity, sequence, and context diagrams.
• Allocate and partition system functionality across multiple implementation teams, supporting architectural trade studies and optimization.
• Define and maintain co-simulation and virtual validation strategies, including simulation architectures and acceptance criteria.
• Work closely with software, hardware, validation, electrical architecture, and platform teams to manage complex interdependencies and integration risks.
• Support system integration, calibration, validation, and issue resolution, including root cause analysis across domains.
• Ensure system designs meet safety, regulatory, quality, and performance requirements, supporting certification and approvals.
• Drive continuous improvement in MBSE adoption, modeling quality, and virtual validation capability.
• Clearly document technical decisions, trade-offs, and deliverables across the product lifecycle.

Key Responsibilities

• System architecture definition and modeling using MBSE
• Functional decomposition and end-to-end requirement traceability
• Managing change, dependencies, and architectural allocation using system models
• Co-simulation strategy and system-level validation planning
• Definition of acceptance criteria and “definition of done” for system deliverables
• Providing technical leadership in complex, cross-functional environments, fitting well with technical expectations for system integration, fault strategy ownership, and architectural influence

Core Technical Capabilities

• 12V electrical system architecture, including power distribution, grounding, protection, and load management.
• Understanding of vehicle LV networks and ECUs (body, gateway, chassis, infotainment-adjacent, and domain controllers).
• Experience with fusing strategies, wake/sleep management, power modes, and energy budgeting.
• Knowledge of CAN, LIN, Ethernet, and diagnostics (UDS) as they relate to LV system behavior and dependencies.
• Familiarity with SDV concepts, including centralized compute, service-based architectures, and decoupling software from hardware.
• Ability to analyze and resolve system-level issues related to voltage stability, current limits, transient behavior, and fault propagation.
• Experience with system-level FMEAs, fault handling strategies, and graceful degradation in LV systems.
• Understanding of integration between LV systems and higher-voltage domains (e.g., HV interactions, wake coordination, safety states).
• Experience supporting system validation, including HIL/SIL, vehicle testing, and virtual validation approaches.
• Strong systems thinking across electrical, software, and functional domains to manage complex dependencies.

Your Skills & Abilities (Required Qualifications):

• Bachelor's degree in engineering (Systems, Electrical, Software, Mechanical, or related field).
• 7+ years of experience in systems engineering or software-intensive automotive development.
• Strong expertise in systems architecture, MBSE, requirements development, integration, and validation.
• Solid background in model-based development and virtual simulation.
• Experience defining and managing system interfaces, performance targets, and validation/testing strategies.
• Proficiency with MBSE and requirements tools (e.g., Rhapsody, DOORS / DOORS Next).
• Demonstrated ability to operate effectively in ambiguous problem spaces and drive clarity.
• Proven track record of technical leadership, influence, and cross-organizational collaboration.
• Strong prioritization, execution, and stakeholder management skills.
• Excellent written and verbal communication skills.

What Will Give You a Competitive Edge (Preferred Qualifications):

• Master’s degree in engineering or related field.
• Advanced experience with MBSE, including Rhapsody modeling (activity, use-case, sequence, context).
• Familiarity with Agile / SAFe development methodologies.
• Understanding of service-oriented architectures (SOA).
• Knowledge of CI/CD and continuous testing in software-intensive systems.
• Experience working in highly interdependent system architectures with multiple stakeholders.
• Exposure to reliability engineering, functional safety, and regulatory compliance.

LI-JK3

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role

You will be part of a core reliability team responsible for ensuring safe, stable, and scalable Autonomous Vehicle (AV) software releases by turning failures into actionable insight at scale. The mission of this role is to improve learning velocity from failures, reduce reliability escapes, and increase confidence in production readiness through intelligent triage, deep debugging, and data-driven analysis.

This role is reliability-first. Release automation, CI/CD, and validation infrastructure are tools—not the goal. You will work across simulation, CI, and on-road environments to ensure failures are correctly understood, consistently categorized, and rapidly connected to the right solution space.

You will collaborate closely with AI/ML engineers, Systems Engineering, Test Platform owners, Release Engineers, and Safety stakeholders to ensure reliability signals meaningfully influence engineering priorities and release decisions.

If you are passionate about reliability engineering, failure analysis, and building systems that help organizations learn faster from complex ML-driven software, we want to talk to you.

What You’ll Be Doing

• Own the reliability triage framework for the AV software stack, defining how failures from simulation, CI, and on-road validation are detected, categorized, and escalated into actionable insights.
• Perform deep debugging and root-cause analysis across autonomy software, ML pipelines, and system integrations, connecting failure symptoms to clear solution paths and corrective actions.
• Design and evolve automated triage mechanisms and reliability taxonomies, improving regression detection, flakiness identification, and signal quality as the system and models evolve.
• Build and govern reliability data pipelines, providing continuous visibility into stability trends, recurrence patterns, and systemic risks that impact release readiness.
• Translate reliability findings into decision-grade communication, influencing prioritization, technical debt reduction, and release confidence in partnership with engineering, safety, and systems stakeholders.

What You Must Have

Strong proficiency in Python and SQL for automation, analysis, and data pipelines
Proven experience with CI/CD systems (GitHub Actions, Jenkins, GitLab, or equivalent)
Hands-on experience implementing ETL/ELT pipelines for reliability, quality, or system health monitoring
Solid understanding of reliability engineering concepts, including regression tracking, flakiness detection, and failure classification
Strong analytical and cross-stack debugging skills in large-scale software systems
Experience integrating simulation, HIL, or system-level test signals into automated analysis workflows
Track record of effective cross-functional collaboration across engineering, QA, and platform teams
Ability to operate autonomously in high-ambiguity, safety-critical environments

• Excellent communication skills for presenting data-driven reliability insights to engineering and technical leadership

Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field—or equivalent experience.

Bonus Points

Experience with reliability governance in ML-based or AV systems
Familiarity with reliability methodologies (FMEA, reliability growth analysis, MTBF trends)
Knowledge of AV / ADAS software architectures and simulation-to-road validation loops
Experience building reliability or analytics pipelines in cloud environments (AWS, GCP, Azure)
Familiarity with observability and visualization tools (Grafana, Superset, Power BI, etc.)

• Experience using Jira, GitHub Projects, or similar tools for reliability tracking and triage workflows

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
·     The salary range for this role: is $123,200 to $189,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
·     Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
·     Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

About the Team:

The ML Compute Platform is part of the AI Compute Platform organization within Infrastructure Platforms. Our team owns the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI. We’re proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3/L4/L5), as well as other groups building AI-driven products for GM and its customers.

We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use cases. Our platform supports the training and deployment of state-of-the-art (SOTA) machine learning models with a focus on performance, availability, concurrency, and scalability. We’re committed to maximizing GPU utilization across platforms (B200, H100, A100, and more) while maintaining reliability and cost efficiency.

About the Role:

We are looking for a Senior Software Engineer to join our team and help us scale our platform for performance, reliability, and usability. You’ll be responsible for building critical backend services, integrating with GPU hardware and orchestration systems, and driving improvements to both system architecture and user experience.

This is a hands-on engineering role that requires a strong background in distributed systems, infrastructure, and a product mindset with a keen eye for user experience.

Your Skills & Abilities (Required Qualifications)

• Design core platform backend software components

• Experience cloud platforms like GCP, Azure

• Thrive in a dynamic, multi-tasking environment with ever-evolving priorities. Interface with other teams to incorporate their innovations and vice versa

• Analyze and improve efficiency, scalability, and stability of various system resources

• Proactively identify, drive and design large initiatives across GM ML ecosystem

At a Minimum We'd Like You To Have

• 5+ years of industry experience\

• Expertise in either Go, C++, Python or other relevant coding languages

• Strong background with kubernetes at scale

• Relevant experience building large-scale with distributed systems

• Experience leading and driving large scale initiatives

• Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services

What Will Give You a Competitive Edge (Preferred Qualifications)

• Hands-on experience in ML platforms

• Experience with GPU/TPU optimizations

• Experience with training frameworks like PyTorch, TorchX

• Experience with Ray framework

• Leadership/active participation in the open source community

• Experience infrastructure applications or similar experience

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.   

• The salary range for this role is $155,420 to $395,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Relocation: This job may be eligible for relocation benefits.  

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard - from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

About the Organizations:

The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Software Validation organization holds end-to-end accountability for every capability and feature spanning the autonomy software system. The SAFE-ADS team is responsible for internal and external Safety Assurance processes, claims, accumulation of evidence, reporting and response to inquiries for GMs Automated Driving Systems.  

The Role

In this Technical Program Manager (TPM) position, you will play a critical role at the interface between the Autonomous Vehicle (AV) Software Validation team and the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) team within GM’s Global Product Safety, Systems and Certification organization. You will work cross-functionally to develop industry leading AV quantification methods, scale them in software for near-term AV program validation as well as to provide long term GM AV safety monitoring, reporting and incident response. You will work cross functionally to integrate workstreams, define clear milestones, de-risk dependencies, drive alignment, and execute projects efficiently.

The ideal candidate is both technical and execution-driven, builds trust and confidence with partners quickly, and has experience in safety and AV software verification and validation.

What You'll Do

• Lead TPM execution for validation metrics development and implementation, including human benchmarking, and counterfactual modeling. This also includes scaling strategy.

• Partner with AV safety, software validation systems engineering, and other cross functional technical leads to translate engineering work into project definitions, roadmaps, timelines, resourcing, and cost plans to efficiently execute program milestones.

• Drive execution, risk management, and governance for critical-path projects, enterprise safety initiatives, and incident response by proactively identifying and mitigating technical/program risks, building strong relationships with internal and external stakeholders, defining and tracking KPIs and validation milestones, and leading program reviews with technical and executive leaders.

• Responsibilities also include facilitating standards and best-practice synthesis, external collaborations, data collection campaigns, engineering and computational model development, metric design, and scaling models/metrics/targets via cross-functional cloud-based pipelines and interactive visualizations.

Your Skills & Abilities (Required Qualifications)

• BS or MS in Mechanical Engineering, Computer Science, Vehicle Engineering or a related technical field

• 8+ years of engineering experience with a minimum of 3 years of technical program management experience

• Demonstrated experience in cloud-based data storage and data processing, including optimization for continuous availability, speed, and cost.

• A track record of successfully managing technically complex, cross-functional programs in development and scaling to production

• Strong systems thinking with ability to expose and mitigate risks

• Excellent communication skills, capable of switching between high-level leadership summaries and detailed technical discussions

• Ability to adapt and operate under ambiguity

• Familiarity integrating agile program delivery and waterfall method -  Jira, Confluence, Smartsheet, and technical development workflows

What Can Give You a Competitive Advantage (Preferred Qualifications)

• 3+ years of TPM emphasizing safety critical technical systems

• Demonstrated experience in AI/ML, robotics, or autonomous systems

• Experience in safety critical technical systems

• Exposure to verifying and validating software and systems

• Ability to develop, inspire and motivate team

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $159,400 to $245,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Relocation: This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

LI-RF1

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role:

We are seeking a high performing, self-driven Senior Systems Engineer to lead the feature and system design for the Charging Consumer Electronics domain. This role requires strong cross functional collaboration across engineering, product, program, software, HW, HMI, design, safety, and validation teams. The Senior Systems Engineer is accountable for defining end to end feature and system requirements, , performance targets, and ensuring delivery meets customer expectations, regulatory requirements, technical feasibility, across all program milestones.

What You'll Do:

• Decomposition of product requirements into feature-level and system-level testable requirements.
• Define system interfaces, system blueprints and performance target,.
• Collaborate with Product, Program, and Engineering to define how the wireless charging solution will be designed, developed, built, tested, calibrated, integrated, and validated.
• Ensure compliance with safety, regulatory, and quality standards, support certification approvals.
• Perform Failure Mode Analysis to ensure robust system behavior.
• Serve as the primary point of accountability for the feature across all cross‑functional teams.
• Own and maintain the Feature and System Bill of Materials (BoM).
• Support development and maintenance of the testable functionality rollout plan.

Your Skills & Abilities (Required Qualifications):

• Strong knowledge of systems and software architecture, embedded software development, and testing methodologies.
• 5+ years of experience in Systems Engineering, Embedded Controls, or equivalent development domain.
• Bachelor’s degree in Engineering (Electrical, Computer, Software, Mechatronics, or related).
• Experience with requirement tools such as DOORS / DNG and Rhapsody (preferred).
• Familiarity with Agile or SAFe development methodologies.
• Strong analytical and problem‑solving skills, with the ability to work through complex technical challenges.
• Excellent written and verbal communication skills.
• Strong interpersonal skills and ability to collaborate across global teams and functional areas.
• Demonstrated organizational agility and ability to work effectively in cross‑functional environments.

What Can Give You a Competitive Edge (Preferred Qualifications):

• 8+ years of experience in Systems Engineering, Embedded Controls, or equivalent development domain.
• Understanding of automation strategies such as CI/CD and Continuous Testing.
• Experience with Service‑Oriented Architecture (SOA) and Behavior‑Driven Development (BDD).

Experience with Model‑Based Systems Engineering (MBSE).

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.   

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role:

As a Technical Lead you will be a senior individual contributor in the Local Planner Controller team within Embodied AI. We formulate and solve optimization problems online, considering kinematic feasibility, collision avoidance and ride comfort. In this role, you will provide cross-functional technical leadership for vehicle dynamics, estimation and controls systems used in GMs Super Cruise system.

You will define the technical vision and multi-quarter roadmap for vehicle dynamics and controls software, drive design quality from architecture through validation, and align multiple teams to ship reliable, scalable autonomy capabilities that meet company goals.

What you’ll be doing:

• Shape the technical vision by owning multi-quarter roadmap designs for vehicle dynamics and controls software.
• Architect and implement system designs and interface contracts with perception, prediction and planning systems, ensuring deliverables meet performance targets and safety constraints.
• Lead technical reviews and drive software engineering best practices across the team and the larger organization.
• Contribute to Active Safety, Driver Assistance, and Super Cruise.
• Guide other developers through system design and implementation focusing on safety, comfort, and compute efficiency.
• Establish verification and validation strategies for the vehicle dynamics and controls software, including simulation and on-road testing validation gates.
• Partner with Safety, Systems Engineering, and Product to generate requirements for onboard systems.
• Lead root-cause investigations for complex integration issues, using data-driven techniques and principled experimentation, proactively creating test plans for new features and defining useful metrics for analyzing performance
• Mentor engineers across teams, raising the bar on technical judgment, design quality, and execution discipline without direct people management responsibilities.
• Improve and deliver reliable software through continuous integration, automated testing, and code reviews.
• Develop and oversee top-tier software engineers within a dynamic, fast-paced, and inclusive setting.
• Help define, build, and embody GM engineering culture and principles.

Qualifications:

• Ph.D., M.S. in controls, optimization, path planning, or related. B.S. with strong work experience in the field may be considered
• 5+ years of experience in motion planning or related field
• Deep understanding of optimal controls and trajectory optimization algorithms
• Good grasp of classical and modern feedback control theory and techniques
• Solid understanding of vehicle dynamics
• A demonstrated track record of building high quality autonomous software systems
• Deep expertise in Planning and Controls system design
• Experience with C++/Python in a large, distributed development environment
• Strong organizational and communication skills
• Passion for self-driving technology and its potential impact on the world

Bonus points!

• A background in robotics, ROS, or the AV/ADAS industry
• Experience in numerical optimization algorithms
• Experience designing software applications for safety critical systems
• Experience building and managing engineering teams

Remote:This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $218,800.00 to $335,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This job may be eligible for relocation benefits. 

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.  

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role: As a Senior Research Scientist in the AI Research organization, you will be advancing the frontier of machine learning to solve challenging problems in autonomous driving. You will design state-of-the-art algorithms that open new possibilities for our vehicles. Additionally, you will help shape technical directions, mentor, and publish at top conferences.

About the Organization: The AI Research team advances the state-of-the-art in AI for autonomous vehicles. We research, design, and prototype advanced AI/ML techniques (e.g., foundation models, VLAs, diffusion, image/video generation, self-supervised learning, IL, RL) that help our vehicles unlock new autonomous capabilities. Join a collaborative and innovative team redefining autonomy. 

What You’ll Do

• Research, design, and prototype advanced ML approaches (e.g., foundation models, VLAs, diffusion, image/video generation, self-supervised learning, IL, RL) to advance the state-of-the-art in autonomous driving.
• Influence technical roadmaps, shaping strategic ML priorities aligned with company objectives and product milestones.
• Provide technical mentorship and vision.
• Collaborate closely with multidisciplinary engineering groups, helping foster ML innovation across teams.
• Represent GM externally through publications, patents, and participation in top conferences.

Your Skills & Abilities (Required Qualifications)

• Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field.
• 2+ years of experience in AI/ML research and applied development.
• Expertise in modern ML architectures (transformers, generative AI, multimodal systems).
• Strong programming skills in Python.
• Strong communication, collaboration, and mentoring abilities

What Will Give You A Competitive Edge (Preferred Qualifications)

• Demonstrated research impact in AI/ML technologies either through important publications in top conferences or demonstrated contribution to industry leading systems.
• AV/ADAS experience

Remote:This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum. 

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is $170,600.00 to $261,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This job may be eligible for relocation benefits. 

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Job Description

We are seeking a high-performing, self-driven Senior Systems Engineer to join the Systems Engineering team, focused on vehicle display systems. In this role, Head-Up Display (HUD) and Display Articulation features will be your primary areas of responsibility.

You will be responsible for translating product intent into robust, testable system solutions using Model-Based Systems Engineering (MBSE). This role plays a key part in delivering high-quality display experiences by leading system-level definition, decomposition, and integration of HUD and articulated display features across software, electronics, optics, mechanical components, and virtual environments.

You will work closely with design, software, mechanical, validation, UX, and platform engineering teams to ensure display features integrate seamlessly into vehicle programs.

What You’ll Do

• Own system-level architecture, design, and integration for HUD and Display Articulation features within the vehicle display domain.
• Decompose product and program requirements into system models, functional architectures, and testable software, electrical, optical, and mechanical requirements.
• Develop and maintain system blueprints, including functional decomposition, logical architecture, interface definitions, requirements, allocations, and system-level FMEAs.
• Own and evolve MBSE artifacts, such as functional models, interface definitions, activity, use-case, and context diagrams.
• Allocate and partition HUD and display articulation functionality to implementation teams, supporting architectural trade studies and optimization.
• Define, develop, and maintain co-simulation and virtual validation environments and acceptance criteria for display features.
• Work directly with software, hardware, optics, and mechanical teams to ensure alignment with platform constraints, UX guidelines, and system interfaces.
• Support integration, calibration, validation, and issue resolution for HUD and display articulation features, including root cause analysis.
• Ensure designs meet safety, regulatory, quality, and performance standards, supporting certification and approval activities.
• Drive continuous improvement in MBSE adoption, system modeling quality, and virtual validation capability.
• Document technical deliverables and support program milestones across the product lifecycle.

Key Responsibilities

• System modeling and architecture definition using MBSE
• Functional decomposition and end-to-end requirement traceability
• Change control and architectural allocation for HUD and display articulation features
• Co-simulation strategy definition and system-level validation planning
• Definition of acceptance criteria and “definition of done” for display feature deliverables
• Cross-functional technical leadership and stakeholder alignment

Technical Focus & Capabilities

• Strong system-level understanding of vehicle display systems, with direct responsibility for HUD and display articulation features.
• Knowledge of HUD fundamentals, including optics, image generation, alignment, calibration, ghosting, distortion, brightness, and field-of-view.
• Understanding of display articulation systems, including actuation mechanisms, position sensing, control logic, fault handling, and safety interlocks.
• Familiarity with display electronics and interfaces (LVDS, Ethernet, CAN, LIN) and related diagnostics.
• Experience with display bring-up, calibration, and validation, including environmental and vehicle-level testing.
• Ability to define and manage system-level performance requirements such as latency, resolution, brightness, power, and thermal behavior.
• Experience performing system-level FMEAs, fault detection, and graceful degradation for display features.
• Strong understanding of software–hardware–mechanical interactions affecting display behavior and customer experience.
• Exposure to virtual validation and co-simulation for early feature and architecture assessment.

Required Qualifications

• Bachelor’s degree in Engineering (Systems, Electrical, Software, Mechanical, or related field).
• 5+ years of experience in systems engineering or software-intensive automotive development.
• Strong expertise in systems architecture, MBSE, requirements development, integration, and validation.
• Solid background in model-based development and virtual simulation.
• Proficiency with MBSE and requirements tools (e.g., Rhapsody, DOORS / DOORS Next).
• Ability to work through complex, ambiguous technical problems.
• Demonstrated ability to collaborate and influence across disciplines.
• Strong communication and execution skills.

LI-JK3

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.   

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role
As a Senior AI/ML Engineer in the Embodied AI organization, you will develop and deploy machine learning solutions contributing to autonomous driving performance. You will contribute to designing and improving ML models that support safe and reliable vehicle behavior across real-world scenarios.

You will collaborate closely with senior engineers and cross-functional teams to translate research and technical concepts into production-ready solutions while contributing to engineering best practices and delivery execution.

What You'll Do

• Develop and improve ML solutions aligned with GM’s autonomous driving objectives.
• Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification, trajectory generation, and safe AI.
• Collaborate with cross-functional teams to deploy models into onboard driving systems.
• Implement and evaluate models, incorporating research advancements into practical applications.
• Contribute to taking ML solutions from experimentation through deployment and production support.
• Participate in code reviews, documentation, and technical discussions to support engineering quality and knowledge sharing.

Your Skills & Abilities

• Bachelor’s or Master’s degree in Computer Science, Robotics, Machine Learning, or related field.
• Experience applying machine learning techniques to real-world systems or large-scale datasets.
• Proficiency in PyTorch and Python.
• Experience working with model training pipelines or large-scale data processing workflows.
• Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark.
• Ability to collaborate effectively within cross-functional engineering teams.
• Experience deploying ML models into production or working within production ML environments preferred.

Remote:This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $170,600.00 to $261,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This job may be eligible for relocation benefits. 

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.   

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role
As a Staff AI/ML Engineer in the Embodied AI organization, you will serve as a senior individual contributor developing and deploying machine learning solutions that directly impact autonomous driving performance. You will design and implement advanced ML models that enable safe and reliable vehicle behavior across diverse real-world scenarios.

In this role, you will partner closely with cross-functional engineering teams, contribute to core technical direction within your domain, and support the growth of engineers through technical collaboration and mentorship. You will help translate research into scalable onboard ML solutions while contributing to the continuous improvement of our autonomy stack.

What You'll Do

• Design and implement ML solutions aligned with GM’s autonomous driving objectives.
• Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification, trajectory generation, and safe AI.
• Collaborate with cross-functional teams to deploy models and algorithms into onboard driving systems.
• Contribute to applied research efforts and remain current with advancements in ML frameworks and methods.
• Design and build efficient infrastructure, pipelines, and tooling to facilitate fast-pace model iterations.
• Drive technical execution from prototyping through production deployment, documenting learnings and best practices.
• Support and mentor engineers through technical collaboration and code reviews, fostering knowledge sharing and engineering excellence.

Your Skills & Abilities

• Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Machine Learning, or related field.
• Experience working with large-scale foundation models and alignment methods applied to real-world systems.
• Demonstrated ability to deliver applied ML solutions under real-world constraints and timelines.
• Proficiency in PyTorch and Python.
• Experience building and scaling model training pipelines enabling efficient iteration across teams.
• Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark.
• Strong communication skills enabling effective collaboration across engineering teams.
• Experience deploying ML models into production environments and understanding end-to-end deployment workflows.
• Experience in robotics or autonomous driving systems preferred.

Remote:This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum. 

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $218,800.00 to $335,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This job may be eligible for relocation benefits. 

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.   

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role:

As a Principal Technical Lead in the Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions directly impacting autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced ML models to reliably and safely navigate diverse real-world scenarios and conditions. You'll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor ML engineers, and significantly shape the future of onboard ML capabilities.

What You'll Do:

• Design and implement technologies that align our models to GM’s mission.
• Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, guidance, and selection to raise the performance of our models and provide a layer safety and reliability.
• Collaborate with cross-functional teams to integrate & align distillation recipes of foundation models for onboard driving models.
• Conduct research and stay updated on the latest advancements in AI frameworks and libraries.
• Lead projects from ideation to deployment, documenting learnings and best practices along the way.
• Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement.

Your Skills & Abilities:

• Bachelor’s, Master’s or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field.
• Proven experience working with large-scale Foundation Models and alignment methods to translate research into real-world impact.
• Proven experience delivering applied research in the wild and maintaining best practices while working on tight deadlines.
• Proficiency in frameworks such as PyTorch and languages such as python.
• Proven experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams.
• Strong data processing skills using tools like Numpy, Pandas, and Apache Spark.
• Excellent communication skills to effectively collaborate with diverse teams and stakeholders.
• Experience deploying foundation models into production environments and understanding the end-to-end process.
• Previous experience in Robotics or Autonomous Driving.

Remote:This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $296,300.00 to $453,900.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This job may be eligible for relocation benefits. 

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role: As a Staff Research Scientist in the AI Research organization, you will be advancing the frontier of machine learning to solve challenging problems in autonomous driving. You will design state-of-the-art algorithms that open new possibilities for our vehicles. Additionally, you will help shape technical directions, mentor, and publish at top conferences.

About the Organization: The AI Research team advances the state-of-the-art in AI for autonomous vehicles. We research, design, and prototype advanced AI/ML techniques (e.g., foundation models, VLAs, diffusion, image/video generation, self-supervised learning, IL, RL) that help our vehicles unlock new autonomous capabilities. Join a collaborative and innovative team redefining autonomy. 

What You’ll Do

• Research, design, and prototype advanced ML approaches (e.g., foundation models, VLAs, diffusion, image/video generation, self-supervised learning, IL, RL) to advance the state-of-the-art in autonomous driving.
• Influence technical roadmaps, shaping strategic ML priorities aligned with company objectives and product milestones.
• Provide technical mentorship and vision.
• Collaborate closely with multidisciplinary engineering groups, helping foster ML innovation across teams.
• Represent GM externally through publications, patents, and participation in top conferences.

​

Your Skills & Abilities (Required Qualifications)

• Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field.
• 5+ years of experience in AI/ML research and applied development.
• Deep expertise in modern ML architectures (transformers, generative AI, multimodal systems).
• Strong programming skills in Python.
• Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding ML excellence across the organization.

​

What Will Give You A Competitive Edge (Preferred Qualifications)

• Demonstrated research impact in AI/ML technologies either through important publications in top conferences or demonstrated contribution to industry leading systems.
• AV/ADAS experience

Remote:This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is $218,800.00 to $335,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This job may be eligible for relocation benefits.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. 

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.   

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role Overview:

As a Principal Engineer you will be a technical leader in the Local Planner Controller team within Embodied AI. We formulate and solve optimization problems online, considering kinematic feasibility, collision avoidance and ride comfort.

In this role, you will provide cross-functional technical leadership for vehicle dynamics, estimation and controls systems used in GMs Super Cruise system. You will define the long-term technical vision and multi-year roadmap for vehicle dynamics and controls software.

What you’ll be doing:

• Shape the technical vision by owning long-term roadmap designs for vehicle dynamics and controls software.
• Architect and implement system designs and interface contracts with perception, prediction and planning systems, ensuring deliverables meet performance targets and safety constraints.
• Lead technical reviews and drive software engineering best practices across the team and the larger organization.
• Contribute to Active Safety, Driver Assistance, and Super Cruise.
• Guide other developers through system design and implementation focusing on safety, comfort, and compute efficiency.
• Establish verification and validation strategies for the vehicle dynamics and controls software, including simulation and on-road testing validation gates.
• Own cross-organizational leadership across partner teams like Safety, Systems Engineering, and Product to generate requirements for onboard systems.
• Lead root-cause investigations for complex integration issues, using data-driven techniques and principled experimentation, proactively creating test plans for new features and defining useful metrics for analyzing performance
• Mentor Staff and Senior engineers across teams, raising the bar on technical judgment, design quality, and execution discipline without direct people management responsibilities.
• Improve and deliver reliable software through continuous integration, automated testing, and code reviews.
• Develop and oversee top-tier software engineers within a dynamic, fast-paced, and inclusive setting.
• Help define, build, and embody GM engineering culture and principles.

Qualifications:

• Ph.D., M.S. in controls, optimization, path planning, or related. B.S. with strong work experience in the field may be considered
• 8+ years of experience in motion planning or related field
• Deep understanding of optimal controls and trajectory optimization algorithms
• Solid understanding of vehicle dynamics
• A demonstrated track record of building high quality autonomous software systems
• Deep expertise in Planning and Controls system design
• Experience with C++/Python in a large, distributed development environment
• Strong organizational and communication skills
• Passion for self-driving technology and its potential impact on the world

Bonus points!

• A background in robotics, ROS, or the AV/ADAS industry
• Experience in numerical optimization algorithms
• Experience designing software applications for safety critical systems

Remote:This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $296,300.00 to $453,900.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This job may be eligible for relocation benefits. 

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.  

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role Overview:

We are seeking a highly experienced and technically adept Senior Engineering Manager - AI/ML Engineering to lead our Data Foundations teams within the Embodied AI organization. This is a people leadership role with technical depth. You will be instrumental in shaping the future of Autonomous Vehicle (AV) development by setting the vision for and leading a dedicated team that owns the data flywheel for continuously improving GM’s Foundation AV model performance.  You will manage senior AI/ML Engineers and Engineering Managers, set the technical vision of the Data Scaling teams, collaborate with and set direction for partner teams across the organization. You will set best practices for technical execution, grow technical leaders in the team and continue to build and uplevel a very high impact team.

About the Team:

The Data Scaling group owns the Data Flywheel for AV Foundation model development and successive fine tuning. It defines the composition of the data that is needed for the AV to learn behaviors at scale and deliver the driving behaviors necessary for the product success. The team owns the definition and processes for data quality across the data loop.

The team directly works on and delivers ML models to the product that successively go up the Data Scaling curves, thereby improving AV performance through smart use of data. As part of this work, the team builds scalable systems and pipelines that attempt to 10x the data used, its diversity and impact on the models with successive major releases. The team uses existing very large datasets that GM has access to internally as well as defines the next generation of highest value datasets that GM continues to collect – both from real driving by GM and retail fleets, but also synthetic sim-based datasets. 

Why Join Us?

• Scale up AV foundation model pre-training and fine-tuning with data to its maximum capacity – into billions+ of examples - across different sources, delivering the maximum value to the model through every additional example.
• Work with cutting-edge technology and a collaborative, high-impact team of AI/ML engineers, data scientists and engineers who are passionate about leveraging advanced AI techniques to drive innovation for L2, L3 and L4 applications.
• Contribute to the safety, reliability, and scalability of next-generation autonomous vehicles.

What You'll Do:

• Manage an interdisciplinary team of AI/ML engineers, TLMs and EMs building and scaling the Data Flywheel at GM.
• Raise the engineering bar of the team: set best practices, give feedback, and provide mentorship to direct and indirect reports.
• Drive the technical vision for Data Foundations at GM, working with senior leadership and members of your team.
• Define the project roadmap, set development priorities, and align the team’s work with company objectives and product milestones.
• Collaborate cross-functionally with teams involved in AV model development and validation and ensure we meet organizational goals, product requirements and scaling needs.
• Promote a collaborative, inclusive, and high-performance team culture, and champion the GM engineering values and principles.

What You Must Have:

• BS, MS, or PhD in Robotics, Computer Science, Engineering, or a related technical field.
• Proven experience managing and scaling high-performing engineering teams with a focus on operational excellence.
• Demonstrated ability to inspire and motivate teams, drive best practices, and deliver continuous improvement.
• Track record delivering scalable software solutions to a production environment using Python.
• Proven experience in solving data scaling challenges, ranging from data diversity, data quality and building best practices to incorporate multiple data sources in large models.
• Excellent communication, collaboration, and mentoring abilities, with a passion for driving innovation in autonomous technology.
• Strong organizational, communication, and people leadership skills.

Bonus Points

• A background in Robotics or the AV/ADAS industry.
• Direct experience leveraging LLMs/VLMs/etc. for production workflows.
• Experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams.
• Strong data processing skills using tools like Numpy, Pandas, and Apache Spark.
• Experience developing or working with safety-critical code and systems
• Experience deploying foundation models into production environments and understanding the end-to-end process.

​Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $296,300.00 to $453,900.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This job may be eligible for relocation benefits. 

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.  

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role:

As a Technical Lead you will be a senior individual contributor in the Local Planner Controller team within Embodied AI. We formulate and solve optimization problems online, considering kinematic feasibility, collision avoidance and ride comfort. In this role, you will provide cross-functional technical leadership for vehicle dynamics, estimation and controls systems used in GMs Super Cruise system. You will define the technical vision and multi-quarter roadmap for vehicle dynamics and controls software, drive design quality from architecture through validation, and align multiple teams to ship reliable, scalable autonomy capabilities that meet company goals.

What you’ll be doing:

• Shape the technical vision by owning multi-quarter roadmap designs for vehicle dynamics and controls software.
• Architect and implement system designs and interface contracts with perception, prediction and planning systems, ensuring deliverables meet performance targets and safety constraints.
• Lead technical reviews and drive software engineering best practices across the team and the larger organization.
• Contribute to Active Safety, Driver Assistance, and Super Cruise development.
• Guide other developers through system design and implementation focusing on safety, comfort, and compute efficiency.
• Establish verification and validation strategies for the vehicle dynamics and controls software, including simulation and on-road testing validation gates.
• Partner with Safety, Systems Engineering, and Product to generate requirements for onboard systems.
• Lead root-cause investigations for complex integration issues, using data-driven techniques and principled experimentation, proactively creating test plans for new features and defining useful metrics for analyzing performance
• Mentor engineers across teams, raising the bar on technical judgment, design quality, and execution discipline without direct people management responsibilities.
• Improve and deliver reliable software through continuous integration, automated testing, and code reviews.
• Develop and oversee top-tier software engineers within a dynamic, fast-paced, and inclusive setting.
• Help define, build, and embody GM engineering culture and principles.

Qualifications:

• Ph.D., M.S. in controls, optimization, path planning, or related. B.S. with strong work experience in the field may be considered
• 5+ years of experience in motion planning or related field
• Deep understanding of optimal controls and trajectory optimization algorithms
• Good grasp of classical and modern feedback control theory and techniques
• Solid understanding of vehicle dynamics
• A demonstrated track record of building high quality autonomous software systems
• Deep expertise in Planning and Controls system design
• Experience with C++/Python in a large, distributed development environment
• Strong organizational and communication skills
• Passion for self-driving technology and its potential impact on the world

Bonus points!

• A background in robotics, ROS, or the AV/ADAS industry
• Experience in numerical optimization algorithms
• Experience designing software applications for safety critical systems
• Experience building and managing engineering teams

Compensation:

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $198,900.00 to $304,800.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This job may be eligible for relocation benefits. 

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.  

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role:

As a Principal Technical Lead in Trajectory Generation within the Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions directly impacting autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced ML models to reliably and safely navigate diverse real-world scenarios and conditions. You'll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor ML engineers, and significantly shape the future of onboard ML capabilities.

What You'll Do:

• Design and implement technologies that align our models to GM’s mission.
• Apply techniques such as RL, guidance, and selection to raise the performance of our models and provide a layer safety and reliability.
• Collaborate with cross-functional teams to integrate & align distillation recipes of Robotics foundation models for onboard driving models.
• Conduct research and stay updated on the latest advancements in AI frameworks and libraries.
• Lead projects from ideation to deployment, documenting learnings and best practices along the way.
• Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement.

Your Skills & Abilities:

• Bachelor’s, Master’s or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field.
• Proven experience working with large-scale Foundation Models and alignment methods to translate research into real-world impact.
• Proven experience delivering applied research in the wild and maintaining best practices while working on tight deadlines.
• Proficiency in frameworks such as PyTorch and languages such as python.
• Proven experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams.
• Strong data processing skills using tools like Numpy, Pandas, and Apache Spark.
• Excellent communication skills to effectively collaborate with diverse teams and stakeholders.
• Experience deploying foundation models into production environments and understanding the end-to-end process.
• Previous experience in Robotics or Autonomous Driving.

Compensation:

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $ 269,400.00 to $412,600.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This job may be eligible for relocation benefits. 

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise-equipped vehicles on the road, and over 700 million hands‑free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting‑edge advances to everyday drivers at unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.

The Evaluation team builds and evolves the evaluation ecosystem that powers developing and scaling GM’s autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality. We own large scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework. By joining this team, you will help shape GM’s core evaluation platforms, turn system-level results into clear feedback, and help accelerate validated AV deployment at scale.

What You’ll Do

• Define the strategy and architecture for metrics and analyses to evaluate autonomous driving software performance across the autonomy stack.
• Lead cross-functional efforts with autonomy, systems engineering, simulation, and data teams to embed evaluation into development workflows and release decisions.
• Invent and drive new statistical and ML methods, and ML introspection techniques, to quantify performance, detect regressions, and reveal patterns of system behavior at scale.
• Own and refine key AV evaluation metrics and KPIs used for readiness and safety decisions; synthesize and present results and tradeoffs to stakeholders; make insights readily available to partner teams through interactive dashboards.

Your Skills and Abilities (Required Qualifications)

• 7+ years applied experience with robotics or autonomous systems software, spanning multiple subsystems from perception through planning and control of the vehicle.
• 3+ years leading evaluation of complex dynamic systems using numerical and ML approaches on large-scale time series data.
• Proficiency developing Python in production team environments; strong ability to work in large C++ autonomy codebases.
• Proven cross-team technical leadership, including defining strategies adopted by multiple teams and influencing system and architecture decisions.
• PhD, Masters, or Bachelor’s degree in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, or a related field.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Experience in autonomous driving or high-stakes field robotics; designing, running, and interpreting large-scale simulation and field experiments.
• Deep familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy evaluation; command of Pandas, NumPy, SciPy, and visualization libraries.
• Proficiency in C++ and SQL, and experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testing.
• Experience working with ROS or other IPC, robotics stack logging, and with large-scale experiment databases, including designing or scaling evaluation platforms.
• Prior development with computational geometry, linear algebra, PyTorch, and machine learning.
• Background in modeling agent interaction and owning or designing release gating criteria and processes for autonomy systems.

Compensation

• The salary range for this role is $185,100 and $284,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits

• GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle

• Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.”

Remote:This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford, Sunnyvale or Mountain View], you are expected to report to that location three times per week.

GM-AV-1

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Role: As an AI/ML Engineer on the Metrics Frameworks team, part of the Simulation, Evaluation, and Data organization, you will be an individual contributor focused on developing and optimizing infrastructure to accelerate autonomous vehicle development, testing, and deployment by creating specialized analytics frameworks and tools. We are seeking experienced software engineers to build analytical frameworks and tools that empower internal users to construct quantitative analysis pipelines and develop metrics. These metrics will support and accelerate feature design, prioritization, and development, as well as evaluate the impact of recently released features. Our analytics framework equally supports road event monitoring, data mining and training, and simulation metrics.

About the Organization: The Simulation, Evaluation, and Data organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies. The Metrics Frameworks team within this organization focuses on creating, maintaining, and evolving the analytics framework that supports GM's goal of safe, high-performing, and scalable driverless technology. The team delivers robust and scalable tools that facilitate data-driven decision-making throughout the AV feature development lifecycle. We collaborate closely with Simulation Evaluation, Embodied AI, and System and Test Engineering teams to enhance productivity across the organization by developing automation tools and shared libraries for all engineering teams. We are accountable for the performance, reliability, and scalability OKRs of the analytics framework. This includes, but is not limited to, developing customized analytics workflows, improving operational telemetry and dashboards to track relevant KPIs for prioritization, and identifying, designing, and implementing solutions to achieve key results. 

GM-AV-1

What You’ll Do:

• Create tooling that can receive signals from various sources (Simulation, Road, etc) and allow users to easily build quantitative analysis pipelines to extract usable insights.

• Accelerate team’s effectiveness and efficiency by designing and implementing scalable automation tools for test creation, data collection and analysis, debugging, and performance monitoring.

• Design and implement extensible and well-tested shared libraries that will be used by many engineers across the organization.

• Collaborate with other frameworks and data infra teams to build and deploy tools to improve productivity.

• Work closely with autonomous vehicle engineering to enable rapid development and model feedback.

• Maintain a high technical standard for code quality on the team, through architectural design and code reviews.

Your Skills & Abilities:

• Experience developing scalable software solutions that will be used by many developers

• Experience writing Python and C++ in a production environment (unit testing, code review, algorithm performance and tradeoffs, etc.)

• Experience developing automation scripts (Python and Bash scripts)

• BS in Computer Science, Electrical Engineering, Mechanical Engineering, or Aerospace Engineering

• 5+ years of industry experience

• Strong organizational and communication skills

What Will Give You A Competitive Edge:

• Experience with SQL and related tools/tech (Big Query, DuckDB, etc)

• Experience with time-series data analysis and online performance monitoring tools

• Experience building high performance framework / infrastructure and performance optimization in C++/Python

• Familiarity with ROS, Pandas, Python bindings for C++, and plotting/visualization libraries

• Familiarity with Data orchestration and transformation tools like AirTable, AirFlow, DBT, etc

Compensation: The salary range for this role is ($129,000 and $198,400). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. 

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View, San Francisco, Warren or Milford Technical Center three times per week, at minimum.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Staff ML Engineer, ML Compute Platform

About the Team:

The ML Compute Platform is part of the AI Compute Platform organization within Infrastructure Platforms. Our team owns the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI. We’re proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3/L4/L5), as well as other groups building AI-driven products for GM and its customers.

We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use cases. Our platform supports the training and deployment of state-of-the-art (SOTA) machine learning models with a focus on performance, availability, concurrency, and scalability. We’re committed to maximizing GPU utilization across platforms while maintaining reliability and cost efficiency. 

About the Role:

We are looking for a Staff Software Engineer to join our team and help us scale our platform for performance, reliability, and usability. You’ll be responsible for building critical backend services, integrating with GPU hardware and orchestration systems, and driving improvements to both system architecture and user experience.

This is a hands-on engineering role that requires a strong background in distributed systems, infrastructure, and a product mindset with a keen eye for user experience.

What you’ll be doing:

• Design core platform backend software components

• Experience cloud platforms like GCP, Azure

• Thrive in a dynamic, multi-tasking environment with ever-evolving priorities. Interface with other teams to incorporate their innovations and vice versa

• Analyze and improve efficiency, scalability, and stability of various system resources

• Proactively identify, drive and design large initiatives across GM ML ecosystem

At a Minimum We'd Like You To Have

• 7+ years of industry experience

• Expertise in either Go, C++, Python or other relevant coding languages

• Strong background with kubernetes at scale

• Relevant experience building large-scale with distributed systems

• Experience leading and driving large scale initiatives

• Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services

It's Preferred If You Have

• Hands-on experience in ML platforms

• Experience with GPU/TPU optimizations

• Experience with training frameworks like PyTorch, TorchX

• Experience with Ray framework

• Leadership/active participation in the open source community

• Experience infrastructure applications or similar experience

Why Join Us?

If you’re excited to tackle some of today’s most complex engineering challenges, see the impact of your work in real-world AV applications, and help shape the future of AI infrastructure at GM—this is the team for you. 

Compensation:

• The expected base CA compensation for this role is: $198,900 - $304,800. Actual base compensation within the identified range will vary based on factors relevant to the position.
• You also need to include general information about potential commissions, if applicable.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Ideal Candidate:

We are seeking a motivated and innovative ECU Hardware Safety Analysis Engineer to lead circuit-level safety analysis efforts and help define and enhance internal safety analysis methodologies for in-house designed ECUs.

In this role, you will perform detailed circuit-level electronics safety assessments that support the overall System Safety Case for ECUs within a Software Defined Vehicle (SDV) electrical architecture. Your contributions will play a critical role in advancing technologies aligned with General Motors’ Vision of Zero Crashes, Zero Emissions, and Zero Congestion.

The ideal candidate brings hands-on experience conducting DFMEA at both the ECU and circuit levels, along with a strong technical foundation in hardware safety analysis. You are a proactive leader who drives innovation, fosters collaboration, and communicates complex technical concepts clearly across cross-functional teams. Success in this role requires strong business acumen, the ability to navigate ambiguity, and a strategic mindset to address system-level challenges. A passion for continuous learning and a commitment to challenging conventional approaches are essential.

The Role:

Safety is truly in your hands, as your passion for safe mobility will be key in ensuring the functional safety of our inhouse developed ECUs for our latest vehicle architecture.  In this role you are expected to have a high level of technical proficiency to perform various ECU, sub-component and circuit level safety analysis tasks that supports various SDV ECUs, and provide mentoring to more junior engineers.  This team will function in the capacity of performing the required safety analysis within an ECU design responsible organization where work products will be delivered to the System Functional Safety organization to meet the overall system safety case and safety goals of the ECU.  This team will interface across various GM engineering disciplines as well as external engineering entities to obtain needed information for the required safety analysis work.

What You’ll Do:

• Perform ECU circuit level safety analysis, hazard identification and risk mitigations using qualitative and quantitative methods on a multitude of ECUs.
• Support ECU Safety strategy development and deploy safety strategies that balance overall System Safety with feature availability & performance.
• Perform detailed ECU circuit level safety analysis using various software analysis & documentation tools in the following areas:
• DFMEA (Design Failure Mode Effects Analysis)
• FIT (Failures In Time)
• FMEDA (Failure Modes, Effects and Diagnostic Analysis)
• FTA (Fault Tree Analysis)
• Drive ECU, sub-component and/or circuit level design modifications determined necessary from the safety analysis work performed.
• Support development of new and/or revise existing technical safety related requirements for ECU CTRS (Component Technical Requirements Specification).
• Actively lead, participate and contribute in System Safety GSSLT (Global Subsystem Leadership Team), ECU HW Change Control Board and ECU safety analysis Peer Review forums.
• Stay abreast of new technologies and safety analysis techniques.
• Domestic and/or international travel as required (minimal, 10% max).

Your Skills & Abilities (Required Qualifications):

• 7+ years engineering experience in product development with safety critical systems, ECUs or electronic circuit safety analysis.
• Master of Science degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Physics, Computer Science, or another related Engineering degree.
• Electronic Circuit and/or Software design, analysis, development, validation experience.
• Deep knowledge of safety critical embedded controls with at least one automotive subsystem or experience with a complex safety system in other industries.
• Good knowledge of Semiconductor physics, structures, fundamentals, models and failure mechanisms.
• Demonstrated leadership and project management of complex technical projects.
• Ability to provide technical leadership and mentorship to diverse global teams.
• ISO 26262 Certified Safety Expert

What Will Give You A Competitive Edge (Preferred Qualifications):

• 10+ years engineering experience in product development with safety critical systems, ECUs or electronic circuit safety analysis.
• In-depth familiarity with other functional safety standards such as IEC 61508, IEC 62304, or DO-178C.
• Familiarity with safety analysis tools, techniques and standards:
• Mentor or Cadence tool suite used in electronics design
• Medini or Plato-e1ns or other analysis/documentation tool for DFMEA
• Medini, Isograph, Fault Tree + or other analysis tool for FMEDA / FTA
• Siemens SN29500, IEC 62380 or other reliability standards for FIT rate analysis
• Emerging safety standards such as ISO 21448 and UL 4600
• Knowledge of electronics sub-component mechanical design integration within ECUs as it relates to circuit implementation reliability and failure mechanisms.
• Familiarity with common safety mechanisms implemented in Automotive ECU's
• Machine learning, simulation methods and data acquisition.

LI-JK3

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Senior ML Validation Research Engineer will lead applied machine learning research focused on improving verification and validation of ML components used in robotics and autonomous driving systems. This role centers on simulation-based evaluation, uncertainty modeling, scenario coverage automation, and transforming advanced ML research into working prototypes that enhance the efficiency, accuracy, and coverage of ML system validation.

Key Responsibilities

• Prototype research concepts into performant tools integrated into CI/CD and large-scale validation pipelines.
• Advance ML research for open and and closed loop simulation validation.
• Develop scenario generation, coverage-guided testing, and rare-event discovery tooling.
• Create robust metrics, predictors, uncertainty and Out-of-Distribution detection methods for autonomy ML systems.
• Evaluate deep learning modules across perception, prediction, and planning in realistic sensor and traffic simulation.
• Improve behavioral coverage and hazard-aligned metrics used in release readiness decision making.
• Collaborate with Simulation, Safety, Systems Engineering, and cross-functional partners.
• Author technical documentation, white papers, and contribute to validation methodology standards.

Research Focus Areas

• Scenario synthesis (diffusion models, generative models, counterfactuals)
• Coverage-based and fuzzing-based evaluation for autonomy behavior
• Uncertainty estimation, calibration, conformal prediction, OOD detection
• Robustness testing and perturbation frameworks
• Test suite prioritization, failure mining, and regression analysis

Required Qualifications

• MS + 5 years, or PhD + 3 years in ML, Robotics, Computer Science, or work related experience
• Experience with simulation-driven ML evaluation for robotics/autonomy
• Strong proficiency in Python, PyTorch/JAX/TensorFlow
• Demonstrated ability to translate complex ML research ideas into functional prototypes
• Experience integrating ML evaluation into CI/CD pipelines
• Proven research impact through published work, internal tools, or patents
• Strong communication skills and ability to collaborate cross-functionally

Preferred Qualifications

• Experience with autonomy stacks (perception/prediction/planning).
• Familiarity with CARLA, SVL, DriveSim, Applied Intuition, or equivalent simulation platforms.
• Knowledge of Bayesian ML, causal inference, and sequential testing.
• Experience with digital twin systems and sensor simulation.
• Understanding of automotive safety standards (ISO 26262, UL 4600, SOTIF).
• Experience building validation dashboards and scorecards connected to release criteria.

Success Criteria

• Faster detection of ML regressions with improved test efficiency
• Improved uncertainty and robustness metrics that support release decisions
• Prototype tools integrated into production validation workflows
• Tangible contributions to simulation strategy, hazard coverage, and ML confidence scoring

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is  $144,700- $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role

You will be part of a core team that ensures safe, reliable, and scalable releases of the Autonomous Vehicle (AV) software stack through automation, data-driven reliability insights, and systematic validation processes. The mission is to accelerate the velocity and stability of AV releases by unifying software engineering, reliability analysis, and release automation under one cohesive framework.

In this position, you will collaborate closely with Release Engineers, Systems Engineers, DevOps, and AI/ML teams to design and implement automated release validation pipelines, build metrics for release health and stability, and drive root-cause investigations of software and system issues impacting production readiness.

If you are passionate about improving the safety, reliability, and velocity of ML-driven AV software releases through intelligent automation and systems thinking, we want to talk to you.

WhatYou’ll Be Doing

• Design and implement automated release pipelines that integrate simulation, on-road, and CI/CD validation signals to assess software readiness.

• Establish release reliability metrics and dashboards to quantify build quality, regression trends, and confidence of software deployment.

• Collaborate with AI/ML, Simulation, and Systems Engineering teams to ensure robust and reproducible evaluation of release candidates.

• Develop automated triage and failure analysis systems to identify and categorize root causes of reliability or stability regressions.

• Integrate data pipelines for continuous monitoring of release health, including automated collection of test, simulation, and telemetry data.

• Drive systematic improvements in release readiness criteria, defining measurable gates and pass/fail logic tied to product safety and reliability standards.

• Develop frameworks for continuous release validation, ensuring each ML or software iteration is tracked, reproducible, and explainable.

• Communicate insights and reliability findings to developers, QA, and leadership to influence roadmap prioritization and technical debt mitigation.

• Map reliability and automation processes to the broader safety case framework, ensuring compliance with relevant standards and internal governance.

What You Must Have

• Strong proficiency in Python and SQL.

• Proven experience in CI/CD systems (e.g., GitHub Actions, Jenkins, GitLab, or equivalent).

• Prior experience implementing ELT/ETL pipelines for quality monitoring, reliability, or release metrics.

• Solid understanding of system reliability concepts, including regression tracking, flakiness detection, and automated triage.

• Strong analytical, debugging, and problem-solving skills across large-scale software systems.

• Experience integrating simulation or hardware-in-loop testing into automated pipelines.

• Track record of cross-functional collaboration across engineering, QA, and operations teams.

• Ability to learn quickly and operate effectively in a dynamic, high-stakes environment.

• Excellent communication skills for presenting data-driven insights to engineering and leadership stakeholders.

• Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field—or equivalent experience.

Bonus Points!

• Experience with release governance frameworks for ML or AV systems.

• Familiarity with reliability engineering methodologies (MTBF, FMEA, reliability growth analysis).

• Knowledge of AV/ADAS software architectures and simulation validation loops.

• Experience building metrics pipelines in cloud environments (AWS, GCP, or Azure).

• Familiarity with data visualization and observability tools (Grafana, Superset, Power BI, etc.).

• Experience using Jira, GitHub Projects, or equivalent tools for release tracking and reliability triage.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

We are looking for a Senior Technical Product Operations Manager to own and elevate the quality, trust, and operational execution of simulated tests, with a specific focus on driving test quality metrics within TestMart and the Sim organization at large.

This role is split ~60% operational ownership and technical program management and ~40% technical deep dives, quality analysis, and metrics-driven improvements. As a team deeply embedded within the Engineering organization, we believe operational excellence can inform technical improvements to drive scalable impact, and that reflects in this role.

You will complement an already strong operational team by bringing systems thinking, technical depth, and quality rigor; while driving end-to-end accountability for simulation test quality and maintenance pipelines.

This is a hands-on IC role with significant influence across Engineering and Simulation stakeholders.

What You'll Do

Simulation Quality & Trust Ownership

• Own the simulation maintenance workflow, ensuring tests are reliable, scalable, and production-ready
• Act as a quality owner within the test program, driving consistency across behaviors and test types
• Ensure all test deliveries meet defined acceptance criteria and stakeholder expectations

Operational & Program Leadership

• Drive execution of quality-related key results, including test longevity, kickbacks, scope change workflows, and quality corrections
• Identify operational bottlenecks and design process improvements that increase throughput, reduce rework, and improve signal quality
• Operate with a strong bias toward actions, continuously identifying opportunities for improvement and pushing initiatives to completion

Technical Depth & System Thinking

• Perform technical deep dives into simulation and test failures to identify root causes and systemic gaps
• Apply systems thinking to complex Sim core issues by breaking down large, ambiguous problems into functional dependencies and actionable workstreams
• Partner with Engineering and Simulation stakeholders to clarify requirements, validate assumptions, and influence technical decisions through data and analysis

Collaboration & Influence

• Act as a key connector between Operations, Engineering, and Simulation teams by bridging technical details and operational execution
• Build strong collaborations with customers and stakeholders. Manage expectations and align on priorities
• Communicate clearly and confidently across audiences, from working-level partners to senior leadership.

Your Skills & Abilities (Required Qualifications)

• 4+ years of experience in technical operations, product operations, technical program management, or data-driven technical roles requiring regular use of Python and SQL
• Bachelor’s degree in Engineering, Computer Science, Data Science, Mathematics, or a related technical field or equivalent practical experience
• Proven ability to lead complex, cross-functional initiatives without formal authority
• Strong stakeholder management skills, including navigating ambiguity and competing priorities
• Working proficiency in both Python & SQL for data analysis, debugging, or automation
• Ability to independently write and modify scripts and queries to investigate simulation issues, validate assumptions, and drive quality improvements
• Ability to understand simulation systems and technical architectures well enough to drive meaningful quality improvements
• Strong analytical mindset with experience defining, tracking, and improving quality metrics
• Strong collaboration and communication skills
• Bias toward actions and continuous improvement; comfortable taking ownership and driving change
• Ability to adjust between tactile and strategic, leveraging experience and emotional intelligence to quickly adjust as needed

What Will Give You A Competitive Edge (Preferred Qualifications)

• Experience supporting autonomy, ADAS, robotic, or complex simulation systems
• Experience in vendor management and communications to external partners
• Familiarity with machine learning data operations, test quality frameworks, or simulation validation workflows
• Comfort asking hard questions, challenging assumptions, and advocating for quality and rigor

Compensation

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is $129,400 and $198,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits

• GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. 

#GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Staff Program Manager, AV PMO

Hybrid: This role is categorized as Hybrid, and the successful candidate is expected to report to the Technical Innovation Center in Sunnyvale, CA three times per week, at minimum.

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard – from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

You will join the Autonomous Vehicle (AV) Program Management Office (PMO), a core pillar responsible for driving launch readiness for AV and ADAS features across L1–L4 autonomy. Based in the heart of Silicon Valley and Michigan, our team bridges the gap between cutting-edge software innovation and world-class automotive manufacturing, driving GM’s mission of Zero Crashes, Zero Congestion

The Role

As a Staff Program Manager for the next generation of Super Cruise, you will be the primary orchestrator for the evolution of GM’s flagship autonomous driving technology. Operating out of our Sunnyvale hub, you will act as the critical link between Product Management, Technical and Vehicle Program Management, Software Engineering, Hardware Engineering, Systems Engineering, Safety, Design and all other internal stakeholders to drive the strategic goals of the AV organization.

This is a high-visibility role. You aren't just tracking tasks; you are ensuring seamless coordination across all involved teams in order to drive high-quality milestone plans, navigate complex trade-offs, and ensure on-time execution of our most advanced safety-critical systems.

What You’ll Do

• Build trusting partnerships with Product, Program and Engineering leaders to synchronize Super Cruise development with hardware/software cycles and provide critical insights on program status, dependencies, and strategic trade-offs.
• Draft and track Program Milestones with clear success criteria, integrating guidance from Product Requirement Documents, Vehicle Program rollout plans, and company-wide software release schedules.
• Own the Program Risk Register and coordinate the resolution of critical bottlenecks; proactively identify systemic risks early and facilitate the development of robust mitigation plans.
• Lead recurring Program, Risk, and Milestone Reviews while acting as a PMO SME to coach and guide peers on industry best practices, GM-specific processes and professional excellence.
• Manage the centralized Jira Align/Jira/Confluence ecosystem and facilitate the adoption of new operational rhythms to provide executive-level reporting and data-driven insights to senior leadership.
• Forecast resource needs and ensure all workstreams strictly comply with necessary standards and safety-critical software development practices.
• Ability to occasionally travel to Michigan locations (Warren Technical Center and Milford Proving Ground) if needed.

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree in Engineering, Computer Science, or a related technical field, or equivalent experience.
• 10+ years of relevant experience in (Technical) Program Management or Engineering in the Tech, Automotive or Aerospace industry.
• 5+ years leading AV programs driving incremental delivery from inception to launch.
• Technical fluency in AV/ADAS platforms, including familiarity with AI-based driving models, simulation, validation, sensors, compute, infrastructure and operations.
• Expertise in agile and waterfall methodologies; fluent with tools like Jira, Jira Align, Confluence, and Microsoft 365.
• Experience working on software and hardware delivery within Automotive OEM vehicle development processes.
• Capacity to thrive in a fast-paced, dynamic environment and effectively manage competing priorities.
• Exceptional communication, interpersonal, and presentation skills with a proven track record of driving alignment among senior executive stakeholders and inspiring diverse, cross-functional teams to deliver change through influence without direct authority.
• Ability to travel and operate a motor vehicle on a regular basis.

What Will Give You a Competitive Edge (Preferred Qualifications

• Master’s degree in Engineering or MBA.
• Experience with Software-Defined-Vehicle architectures.
• Familiarity with systems engineering principles, validation cycles, and safety standards relevant to autonomous domains.
• Background in scaling operational systems and processes to support evolving technology roadmaps and launch targets.
• Understanding of GM’s GxDP (Global Vehicle/Software Development Process).
• Experience managing to GM’s VeSCoM (Vehicle Software Control Management) timing and Program Increments (PI).
• PMP, CSM, SAFe, Six Sigma, ISO 26262 or similar certifications.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $159,400 to $245,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

LI-LL2

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role:

We’re looking for a senior, self-driven Cyber Security Engineer to own the strategy, design, implementation, and operation of our enterprise PKI and secrets management capabilities. This role is accountable for how trust, identity, and secure access are established and enforced across the enterprise, and for ensuring these foundations scale with the business.
You will operate as a technical leader and subject-matter expert, partnering with senior engineering and security leaders to define long-term direction, set standards, and drive adoption. You should thrive in a fast-paced, agile environment—comfortable making high-impact decisions, navigating ambiguity, and rapidly adapting as technologies and requirements evolve.

What You’ll Do:

• Setting the technical vision and architecting, implementing, and operating scalable, highly available PKI and secrets management services for the enterprise.
• Owning design decisions that shape internal trust models, cryptographic architectures, and access patterns for the most sensitive data and systems.
• Defining, implementing, and continuously improving policies, processes, and controls for the full lifecycle of keys, certificates, and secrets across diverse platforms.
• Influencing and aligning engineering, infrastructure, and leadership teams to deliver robust, observable, and compliant cryptographic systems.
• Mentoring and developing engineers, raising the bar for technical excellence, and driving consistent best practices for cryptographic and secrets management across the organization.
• Advising senior leadership on long-term security architecture strategy, trade-offs, and investment priorities related to identity, PKI, and secrets management.
• Providing operational leadership, including participation in on-call rotations for global, mission-critical services and driving post-incident improvements.
• Leading HSM strategy, including architecture, platform selection, appliance consolidation, and multi-year roadmap planning in alignment with enterprise security and compliance goals.

Your Skills & Abilities (Required Qualifications):

• Bachelor’s degree in Computer Science, Mathematics, Physics, or equivalent senior-level industry experience.
• 7+ years experience in enterprise security engineering or Site Reliability Engineering (SRE), with direct responsibility for high-availability security or cryptographic services.
• 7+ years experience with enterprise secrets management platforms (e.g., HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, BeyondTrust), including architecture, operations, and integration at scale.
• Strong understanding of public-key cryptography, PKI, and modern cryptographic protocols, with the ability to make pragmatic, risk-informed design decisions.
• Demonstrated experience designing, operating, and evolving production PKI systems (root and issuing CAs, CRL/OCSP, certificate lifecycle, and policy governance).
• Proficiency with infrastructure-as-code (e.g., Terraform) and engineering practices that enable repeatable, auditable, and secure deployments.
• Working knowledge of major cloud platforms (AWS, GCP, Azure) and how to integrate PKI and secrets management with cloud-native services.
• Experience with containerization, orchestration (e.g., Kubernetes), and CI/CD workflows, including secure delivery patterns and secrets handling.
• Excellent communication skills, with a track record of presenting complex technical concepts, trade-offs, and recommendations to engineering and executive audiences.
• Strong threat modeling and security architecture skills, with the ability to anticipate abuse cases and design for resilience.
• Hands-on management, integration, and configuration experience with HSM platforms (Entrust, Thales, etc.), including key ceremonies, partitioning, and role design.
• Experience working with and implementing security standards and frameworks (e.g., FIPS 140-2/3, PCI-DSS, and related controls), and translating them into actionable technical requirements.

What Will Give You A Competitive Edge (Preferred Qualifications):

• HashiCorp Vault certification or clearly demonstrable expert-level proficiency with Vault in complex, production environments.
• Deep expertise in HashiCorp Vault and Terraform, including multi-tenant architectures, performance optimization, and automation of large-scale deployments.
• Experience scaling backend systems and implementing secure hardware solutions (HSM, TPM, TEE, etc.) in high-availability, regulated environments.
• Familiarity with modern authentication and authorization protocols (OAuth 2.0, OIDC, WebAuthn/FIDO2, Zero Trust architectures) and how they integrate with PKI and secrets management.
• Experience with remote attestation, secure enclaves, and hardware-backed key protection in cloud or hybrid environments.
• Proficiency in at least one modern programming language (e.g., Go, Rust, Python, Node.js) for building integrations, tooling, and automation around cryptographic and secrets platforms.
• Demonstrated passion for security, rigor, and correctness, with a strong bias toward automation, measurable outcomes, and operational excellence.

LI-SB3

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

General Motors is undergoing a major transformation, both in how we operate and in how we will influence the future of transportation. Our Software Services team is on the forefront of this work, emboldening our culture by seeking out determined, innovative individuals who will join our team to help move us forward and achieve our mission.

The General Motors Global IT Organization is seeking to identify highly motivated and qualified individuals for potential future opportunities as a Staff Systems Configurator – SAP Functional Analyst (Level 8 individual contributor) to design, configure, and support SAP solutions that enable our end-to-end value chain across:

• Source-to-Deliver / Source-to-Pay (Supply Chain & Direct Material Sourcing and Procurement for Automotive)

• Make-to-Ship (Manufacturing & Plant Operations)

• Order-to-Delivery (Order Management & Distribution)

This requisition is intentionally broad across SAP specialties, including but not limited to SD, FI-CO, MM, PP, WM, EWM, Ariba Direct Material Sourcing and Procurement for Automotive, and S/4HANA. You do not need experience in all of the areas listed; we are seeking strong SAP talent across one or more of these modules and encourage candidates to apply even if their expertise is focused in specific domains.

This role is scoped as a Level 8 expert individual contributor in the Systems Configurator job family, leading complex, multi-team SAP initiatives and setting functional direction in partnership with Senior (Level 7) Systems Configurators.

Location: Warren, MI or Austin, TX

The Role

As an SAP Functional Analyst, you will collaborate with cross-functional teams in Product Lifecycle Management, Global Purchasing & Supply Chain (GPSC), Manufacturing, Logistics, and Order Management to gather requirements and to design, configure, and support SAP solutions that meet business needs across the Source-to-Deliver, Make-to-Ship, and Order-to-Delivery spaces.

You will implement scalable SAP processes, ensure solutions align with industry best practices and GM’s IT Solution Delivery Methodology, optimize business operations, support and extend SAP modules, drive process improvements through automation and standardization, and help design and build new SAP-based landscapes that transform how work is done today. At the staff level, you will also own the functional roadmap for your domains, lead design decisions that span multiple product teams, and act as the primary advisor to leaders on SAP capability and process strategy.

You will:

• Translate business needs into robust, integrated SAP configurations and functional designs.

• Optimize business operations in areas such as Order Management, Pricing, Billing, Supply Chain, Logistics, Direct Material Sourcing & Procurement, Purchasing, Production Planning & Execution, Warehousing, and Master Data.

• Support GM’s journey to S/4HANA and SaaS-first solutions, helping rationalize and modernize the SAP and surrounding application landscape.

• Define and champion SAP configuration standards, patterns, and guardrails for Senior (Level 7) and mid-level Systems Configurators across your functional domains.

• Provide final functional sign-off for high-risk or high-impact changes, balancing stability, scalability, and speed of delivery.

What You’ll Do

• Lead SAP configuration and solution design for core business processes such as Order to Cash, Procure to Pay, Production Planning & Execution, and related workflows. This includes ownership of complex, cross-functional initiatives that span multiple SAP products, regions, or business units.

• Oversee financial postings, cost allocations, and supplier collaboration as they relate to your SAP functional domains.

• Support sourcing, procurement, supplier management, production planning, logistics, inventory control, warehouse management, and goods movement processes.

• Collaborate with business stakeholders, analysts, and technical teams to gather requirements and deliver SAP solutions that are scalable, secure, and aligned with GM standards. Influence prioritization and trade-offs across teams to ensure solutions advance key GM objectives, not just local optimizations.

• Participate in testing, validation, and deployment of SAP enhancements and new functionalities; ensure strong end-to-end process validation. Drive the overall test strategy for your domains and ensure appropriate use of automation and regression testing.

• Support integration of SAP with external systems, partnering with integration and infrastructure teams.

• Help evaluate and rationalize the existing manufacturing, supply chain, and order management application landscape, determining which solutions are integrated with, absorbed into, or retired in favor of SAP S/4HANA and related SAP SaaS solutions.

• Participate in SAP upgrades, migrations, and digital transformation initiatives, including S/4HANA and cloud/SaaS adoption. Serve as a key decision-maker on fit-to-standard vs. extension, aligned with GM’s clean core strategy.

• Apply standard SAP functionality to meet business needs, minimizing custom development while still addressing critical gaps via RICEFW objects.

• Contribute to application management and production support, including issue triage, root-cause analysis, and continuous improvement in your functional areas. Act as the top functional escalation point for complex incidents and systemic issues.

• Create and maintain process documentation, configuration guides, and training materials to support adoption and reuse.

• Mentor junior team members and promote best practices in SAP solution delivery, testing, and operations. Systematically coach Senior Systems Configurators and other team members, building depth and succession in critical SAP domains.

• Adhere to organizational IT standards, security protocols, and industry best practices, including relevant regulatory and internal control requirements. Proactively identify control gaps and drive remediation in partnership with Risk, Compliance, and Audit teams.

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in a relevant field (e.g., Computer Science, Information Technology, Engineering, Business Computing, Information Systems, Supply Chain) or equivalent experience.

• Extensive hands-on SAP experience, including configuration of one or more relevant modules, for example:

• SD Order Management, Pricing, Billing, Order-to-Cash.

• FI-CO integration with Supply Chain, Manufacturing, or Order Management.

• MM, WM, EWM procurement, inventory, warehouse, and logistics execution.

• PP / Manufacturing production planning and execution, plan-to-produce.

• DMe/DMC SAP Digital Manufacturing or other digital manufacturing solutions, and integration with plant-floor and logistics systems.

• Ariba Direct Material Sourcing and Procurement for Automotive.

• S/4HANA functional configuration and extensibility.

• Proven track record leading end-to-end SAP solution delivery for complex programs (e.g., multi-release roadmaps, large deployments, S/4 migrations, or significant new capability introductions).

• Strong understanding of SAP principles and extensibility approaches, including how to design upgrade-safe, cloud-compliant solutions.

• Solid business process knowledge in areas such as Order Management, Pricing, Billing, Supply Chain, Logistics, Direct Material Sourcing & Procurement, Purchasing, Production Planning, Warehousing, and Master Data.

• Experience supporting integration with other SAP modules and external systems, including familiarity with common interface technologies (e.g., IDocs, APIs, middleware).

• Familiarity with software testing, automation, and quality assurance practices; ability to define and execute test plans and support automated/regression testing.

• Ability to debug and analyze SAP systems, preferably with some ABAP knowledge to support issue analysis and collaboration with development teams.

• Demonstrated analytical and problem-solving skills, with a structured approach to diagnosing issues and proposing options.

• Strong commitment to continuous improvement, teamwork, and integrity, including willingness to learn new SAP and cloud capabilities.

• Ability to set direction for a functional area, influence architecture and product roadmaps, and make sound trade-off decisions.

What Will Give You a Competitive Edge (Preferred Qualifications)

• SAP certification in one or more relevant modules (e.g., SD, MM, PP, WM/EWM, FI-CO, Ariba, S/4HANA).

• Experience with SAP Automotive Suite or similar industry-specific solutions supporting OEMs, suppliers, or complex manufacturing.

• Familiarity with the SAP Integrated Tool Chain – including Signavio (process modeling), SAP Cloud ALM (CALM), and Tricentis (Tosca) – as well as SAP Fiori and SAP BTP, especially for cloud-based SAP extensions and integrations.

• Exposure to SAP AI / analytics capabilities and apply analytics/AI in manufacturing, supply chain, or order management use cases.

• Experience with EDI transaction sets (ANSI X12, EDIFACT) and related communication protocols, and/or other integration platforms (e.g., SAP PI/PO, SAP Integration Suite, Sterling, Connect Direct).

• Background working with manufacturers, suppliers, or service providers, ideally in automotive or complex discrete manufacturing environments.

• Prior consulting experience or working with global stakeholder groups, including experience in regulated environments (e.g., SOX, internal controls, legal/tax requirements).

• Demonstrated ability to represent your functional area in senior-level forums (e.g., steering committees, enterprise design councils) and to influence outcomes across organizations without direct authority.

Hybrid

This role is categorized as hybrid. The successful candidate is expected to report to Warren, MI or Austin, TX, three times per week, at minimum, or as dictated by business needs.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.  

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role Overview

As a Senior Software Engineer (Dynamics and Controls), you will be a senior individual contributor in the Local Planner Controller team within Embodied AI. We formulate and solve optimization problems online, considering kinematic feasibility, collision avoidance, and ride comfort. In this role, you will provide cross-functional technical leadership for vehicle dynamics, estimation and controls systems used in GMs Super Cruise system. You will contribute to vehicle dynamics and controls software, drive design quality from architecture through validation, and align multiple teams to ship reliable, scalable autonomy capabilities that meet company goals.

You will:

• Drive feature development for vehicle dynamics and controls software deployed to GMs Super Cruise system.
• Architect and implement system designs and interface contracts with perception, prediction and planning systems, ensuring deliverables meet performance targets and safety constraints.
• Lead technical reviews and drive software engineering best practices across the team and the larger organization.
• Contribute to Active Safety, Driver Assistance, and Super Cruise.
• Establish verification and validation strategies for the vehicle dynamics and controls software, including simulation and on-road testing validation gates.
• Partner with Safety, Systems Engineering, and Product to generate requirements for onboard systems.
• Lead root-cause investigations for complex integration issues, using data-driven techniques and principled experimentation, proactively creating test plans for new features and defining useful metrics for analyzing performance
• Improve and deliver reliable software through continuous integration, automated testing, and code reviews.
• Help define, build, and embody GM engineering culture and principles.

You have:

• Ph.D., M.S. in controls, optimization, path planning, or related. B.S. with strong work experience in the field may be considered
• 3+ years of experience in motion planning or related field
• Deep understanding of optimal controls and trajectory optimization algorithms
• Good grasp of classical and modern feedback control theory and techniques
• Solid understanding of vehicle dynamics
• A demonstrated track record of building high quality autonomous software systems
• Deep expertise in Planning and Controls system design
• Experience with C++/Python in a large, distributed development environment
• Strong organizational and communication skills
• Passion for self-driving technology and its potential impact on the world

Bonus points:

• A background in robotics, ROS, or the AV/ADAS industry
• Experience in numerical optimization algorithms
• Experience designing software applications for safety critical systems
• Experience building and managing engineering teams

Compensation:

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $158,000.00 to $241,900.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This job may be eligible for relocation benefits.  

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.  Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

We are looking for a Principal Technical Lead Manager (TLM) to lead the Trajectory Generation team within the Embodied AI organization. This role combines deep technical leadership in machine learning and robotics with people leadership and organizational impact. Trajectory generation is one of the most critical components of an autonomous driving system. It is responsible for producing the precise vehicle motion plans that determine how the car moves through the world — lane changes, merges, turns, yielding, obstacle avoidance, and complex interactions with other road users. Every decision ultimately manifests as a trajectory executed by the vehicle.

As the leader of this team, you will shape the algorithms and ML systems that translate sensor inputs into safe, smooth, and human-like driving behavior across diverse real-world scenarios. You will lead a high-performing team of engineers building ML-driven trajectory generation systems, and drive the roadmap that takes these models from research to production deployment on vehicles. This role requires someone who can set technical direction, mentor senior engineers, and lead large cross-functional initiatives, while remaining deeply involved in the technical architecture and modeling strategies.

What You'll Do:

• Define and drive the technical vision and architecture for trajectory generation systems used in autonomous driving.
• Lead the development of ML-based trajectory generation models capable of handling complex and dynamic driving environments.
• Architect scalable training pipelines using large-scale driving datasets and simulation environments.
• Guide the integration of trajectory generation models into real-time onboard systems with strict latency and safety requirements.
• Influence the design of next-generation embodied AI architectures for driving.
• Mentor senior engineers and help develop the next generation of technical leaders.
• Raise the bar for engineering excellence, modeling rigor, and production-quality systems.
• Foster a culture of innovation, ownership, and collaborative problem solving.
• Lead complex technical initiatives spanning multiple teams across the autonomous driving stack.
• Collaborate closely with teams working on: data, perception, simulation, safety validation, onboard systems.
• Define roadmaps and priorities aligned with product milestones and safety goals.
• Drive solutions from research prototypes through production deployment.

Your Skills & Abilities:

• MS or PhD in Computer Science, Robotics, Machine Learning, or related field.
• Experience leading technical teams delivering production ML systems.
• Deep expertise in one or more areas: robotics planning and control, imitation learning or reinforcement learning, generative models, large-scale machine learning systems
• Strong software engineering skills (Python, C++, or similar).
• Experience deploying ML models into real-world or safety-critical environments.
• Demonstrated ability to define architecture and drive large technical initiatives across teams.

Preferred Qualifications

• Experience with autonomous driving, robotics, or embodied AI systems.
• Background in trajectory planning, motion planning, or behavior modeling.
• Experience with large-scale training infrastructure and distributed ML pipelines.
• Experience with simulation-based training or evaluation of driving policies.

Remote/Hybrid:  This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $296,300.00 to $423,900.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Relocation: This job may be eligible for relocation benefits.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

LI-CX1

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to the office in [Austin, Detroit, Warren, Milford, Mountain View or Sunnyvale] a minimum of 3 days per week. This position can be considered Remote if the successful candidate is in the Seattle, Washington area.

About Us

The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhancing the entire development process of engineers at GM — how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain.

The Role

We are looking for a Senior Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers.

The Team

Build Platform owns creating the build system and tooling that supports our AV and AI developers.  We use Bazel in front of an in-house Remote Bazel Executor (RBE) and Content Addressable Storage (CAS) to provide a premier build experience at Cruise.  Our team is constantly on the lookout for optimizations and new tooling that improves our product.  GM AI developers are heavy users of Python and Docker.  The speed at which they can iterate directly impacts the rate at which our AVs improve.  The tooling and workflows that Build Platform provides are central to the productivity of our AI developers.  Improvements in this space quickly lead to enormous impact for Cruise.

The way this engineer will deliver impact may vary depending on the situation but they will be expected to deliver complete solutions to existing problems from ideation to production and effectively communicate with stakeholders.

What You’ll Do (Responsibilities)

• Design and implement improvements to our Python development ecosystem and workflows, which have a measurable and direct impact on engineering productivity.

• Collaborate with engineers across the company to understand and support their development workflows.

• Own technical projects from start to finish and be responsible for major technical decisions and tradeoffs.

• Lead complex projects that span teams, with many partners and customers.

• Effectively participate in planning, code reviews, and design discussions.

• Contribute impactful projects to the team’s roadmap.

• Thrive in a fast-paced, collaborative work environment where impact is a result of your efforts and where your contribution is highly visible.

• Drive software engineering best practices both within our team and across engineering.  Create tooling that encourages and supports these practices.

• Mentoring and up-leveling other engineers on the team.

• Conduct technical interviews with well-calibrated standards and play a crucial role in recruiting activities.

• Be a positive contributor to our team culture.

Minimum Qualifications (Must-Have)

• 3+ years of experience leading and driving large-scale, cross-team initiatives

• Bachelors Degree in Computer Science or related field or equivalent work experience

• Experience working on developer tooling, Python, docker, etc.

• Experience leading projects across multiple teams

• Attention to detail, and a desire to improve processes & systems around you

• Deep understanding of the business and operational impact for different technology tradeoffs

• Passionate about self-driving technology and its potential impact on the world

Preferred Qualifications (Nice-to-Have)

• 5+ years experience designing, building, and operating production systems at scale in the cloud

• Experience programming with C++ or Go

• Experience with compilers (clang, gcc, nvcc, etc)

• Experience with build systems such as Bazel or Buck

• Experience with cloud infrastructure

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.  

• The salary range for this role: is $170,000 to $240,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Work Arrangement:

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI or Milford, MI three times per week, at minimum.

The Role:

We are seeking a highly skilled and experienced Senior Software Engineer to join our innovative team at General Motors. In this role, you will be instrumental in developing, validating, and deploying robust software solutions that drive our cutting-edge automotive technologies.  The primary focus of this role is responsible for developing and maintaining an agnostic tool chain that supports multiple GM vehicle architectures.  This role will maintain and extend the Autobot tool chain, ensuring reliable and scalable execution for automated workflows. They will take technical ownership of physical interface simulation devices, driving design, integration, and ongoing support. Success in this role requires a strong understanding of embedded controllers and complex vehicle scenarios with the ability to faithfully translate them into lower-level simulated environments for testing and validation.

What you'll do:

• Extend and harden the Autobot tool chain and runners to ensure reliable, scalable execution of automated workflows and regression suites.
• Design, develop, and maintain an agnostic tool chain that supports multiple GM vehicle architectures and software stacks.
• Own the full lifecycle of physical interface simulation devices, including concept, design, configuration, integration, documentation, and long-term support.
• Develop and maintain low-level simulation environments that accurately mirror embedded controllers and vehicle networks for repeatable testing.
• Model complex vehicle scenarios and use cases and translate them into automated, lower-level simulations for validation and debug.
• Collaborate with embedded controls, validation, and architecture teams to understand requirements and integrate the tool chain into their workflows.
• Monitor, troubleshoot, and optimize tool chain performance, including build, deployment, and execution reliability across multiple environments.
• Implement and maintain automated CI/CD and validation pipelines leveraging the Autobot tool chain and simulation infrastructure.
• Ensure robust test coverage and traceability for embedded software changes using the simulation and tool-chain infrastructure.
• Create and maintain technical documentation, standards, and best practices for using the tool chain and simulation devices.
• Provide technical guidance and support to internal users, including onboarding, training, and advanced troubleshooting of the tools and simulations.
• Continuously evaluate and integrate new technologies (hardware and software) to improve simulation of fidelity, performance, and developer productivity.
• Analyze software test metrics to identify trends, potential issues, and areas for improvement in our development processes.
• Ensure high data integrity across various software systems and applications, implementing strategies for data integrity and consistency.
• Collaborate with stakeholders to determine requirements for electrical charge testing, translating business needs into technical specifications.

Your Skills & Abilities (Required Qualifications)

• Bachelors of Science in Engineering or Computer Science w/ preferred focus in Electrical, Computer Systems, Mechanical, Aero, Computer Science
• Minimum 5-7 years of development and integration experience
• Hands-on leadership expertise with in-depth knowledge of vehicle system functionality
• Proven program launch execution experience (you have launched something to production)
• 3 - 5 years experience with automated testing & frameworks
• Strong experience with embedded software development and/or controls development in a real time environment
• Strong python development skills and ability to work within RTOS
• Proficiency within version-controlled systems, CI/CD pipeline
• Comfortable with ambiguity as we build something for the first time
• Ability to translate between physical interfaces and software

What Will Give You A Competitive Edge (Preferred Qualifications)

• Understanding of Vehicle Electrical Charging Architecture and Subsystem configurations
• Knowledge of Vehicle Charging level specifications and requirements for new systems.
• Proven experience with Robot Framework, JIRA and JIRA X-Ray, and Confluence
• Experience related to data visualization and understanding data driven results
• Linux, Android and / or QNX user level experience
• Previous experience with manual and automated testing
• Deep experience with existing software tools such as but not limited to KeySight / IntrepidCS / NeoVI  / RadMoon / Gigastar, Robot Framework, WireShark
• GM organizational aptitude and experience with IRTs, SW VSEs, and PLSIE roles

Additional Information:

This position may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

In this role, Senior Hardware Design Engineer – Aggregator, you will be responsible for Aggregator Hardware Design & Execution and develop and/or improve hardware development process with center of expertise. You will work with cross functional team (Semi conductor, DREs, GM software, PCB layout, Mechanical Engineering, Supplier, Validation) to deliver quality product on time.

You'll effectively achieve program milestones by thorough and effective program management.

We are seeking a high performing independent Senior Hardware Design Engineer – Aggregator to develop winning execution strategies, oversee solutions, resolve issues, and deliver continuous improvement for Aggregators considering quality, cost, and timing.

Responsibilities

• Responsible for Aggregator(s) electrical hardware design.
• Work closely with other teams, such as software engineers, mechanical engineers, and manufacturing teams, to ensure seamless integration of electrical hardware designs into the overall product.
• Lead embedded designs for advanced module architectures.
• Lead new IC design/development strategic to advanced in-vehicle architectures
• Lead electrical schematic design and PCB layout
• Assess the feasibility of proposed electrical hardware designs, considering factors such as cost, performance, reliability, and manufacturability.
• Support next generation designs in digital/analog hardware including Gig+ ethernet, processors, memory, eFuse, FET, HSD/LSD, various semi associated with Aggregators
• Perform/Review electrical worst case analysis
• Represent the GM HW team as design expert in the core technologies developed among the team
• Optimize five-point parametric tests and finalize end of line production tests
• Lead the process as a build-to-print engineer that also acts as a liaison with the contract house
• Lead/execute/support design testing, issue resolution, and design improvement
• Apply cost effective solutions with improved performance design
• Lead product development as part of a multi hub engineering organizations based in Detroit and West Coast
• Refine/optimize requirements with MPG team
• Maintain Aggregator Hardware Design deliverables e.g., Block Diagram, Schematics, PCB layout, …
• Lead Peer Reviews and identify issues (e.g. integration, interfaces, systemic issues)
• Support Engineering Change Request (ECR) of Aggregators.
• Support Assembly Plant issue resolution
• Provide technical leadership for troubleshooting activities to support PRTS Issue Resolution
• Support Product Investigations (SFI Process)
• Lead Cost Reduction
• Provides guidance and consultation to Design Release Engineers (DREs) in product development team meeting
• Create and maintain Best Practices
• Demonstrated ability to work cross-functionally within Aggregator team and across other SMTs.
• Collaborate and strategize with Aggregator TS, Electric Power (Sub)system TS, and Safety
• Ensure all vehicle Program Imperatives (i.e., piece cost, investment, mass, base engineering content & IPTV) involving these components are met.
• Work with DRE/Validation group to setup a plan for a component validation plan (includes component software verification) and ensure that the plan is executed in time to meet program imperatives.
• Participate in Formal Design, Peer and Quality Valve reviews as required by the Vehicle Development Process (VDP).
• Develop/Review/Approve all In-process Electrical test plans.
• Support vehicle integration activity for pre-production and production vehicles
• Lead/participate in issue resolution for design and development issues, ECU warranty analysis, parts restriction and report updates as required to Engineering and Vehicle Team leadership
• Lead/support DFMEA/PFMEA of Aggregator

Requirements

• Bachelor of Science in Engineering Required. Masters degree preferred
• Professional experience creating digital/analog HW interfaces including schematic creation and/or PCB layout & supportive documentation
• Minimum 7+ years working experience in automotive hardware electronics design
• Experience in design & analysis tools like Mentor Graphics (schematic & layout) MathCad, PSpice & Saber
• High speed Communication Buses (Ethernet, PCIe, SerDes…)
• In-depth knowledge of Low voltage power distribution (eFuse, FET, Thermal, LiB, DC/DC)
• In-depth knowledge of requirements engineering process (FMEA, Preliminary Hazard Analyses)
• In-depth knowledge of verification and validation processes
• In-depth knowledge of embedded software development, testing and associated tools
• Understanding of hardware design and failure mode
• Understanding of engineering theory and principles of operation of mechanical/electrical mechanisms
• Thorough knowledge of design development and test engineering, manufacturing and assembly operations, engineering processes and procedures.
• Highly developed oral and written communications skills
• Demonstrated ability to work cross-functionally within Electrical and across other SMTs.
• Demonstrated problem solving ability.
• High level of interpersonal skills to work effectively with others, motivate employees, and elicit work output
• Very high level of analytical problem-solving skills where problems are very unusual and extremely difficult.

Preferred Qualification

• Previous industry experience with compute, connectivity, Body controls, lighting controls, or low voltage distribution

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General Company Expectations

At this level you are expected to operate with a high level of independent discernment and are typically responsible for implementing functional strategy, administering and coordinating programs, counseling and advising management.

As a fully-qualified individual contributor who has thorough knowledge and understanding of all aspects of the function, you will provide expert judgment and analysis for the design, development and implementation of technical products and systems.

Resolve highly complex technical issues and conducts advanced research.

Recommend alterations to development and design to improve quality of products and/or procedures.

Skilled and proficient with a variety of the field's concepts, practices, and procedures.

Rely mostly on extensive personal experience and discernment to plan and accomplish goals.

You will perform multiple tasks. Lead and likely direct the work of others. A wide degree of creativity and latitude is expected.

Why Join Us

At GM, you’ll be at the forefront of shaping the future of connected, electric, and autonomous vehicles. You’ll work on cutting-edge antenna systems alongside some of the brightest minds in automotive and RF technology — with the resources to make an impact at scale. We offer competitive compensation, growth opportunities, and a culture that values innovation, inclusion, and forward thinking. This is a unique opportunity to lead, innovate, and help millions of customers around the world stay connected on the move.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.   We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. 

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Warren, Milford, Mountain View or Sunnyvale], you are expected to report to that location three times a week, at minimum.

About Us

The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhancing the entire development process of engineers at GM — how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain.

The Role

We are looking for an Engineering Manager with an extensive background in build tooling, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers.

The Team

Build Platform owns creating the build system and tooling that supports our AV and AI developers.  We use Bazel in front of an in-house Remote Bazel Executor (RBE) and Content Addressable Storage (CAS) to provide a premier build experience at Cruise.  Our team is constantly on the lookout for optimizations and new tooling that improves our product.  GM AI developers are heavy users of Python and Docker.  The speed at which they can iterate directly impacts the rate at which our AVs improve.  The tooling and workflows that Build Platform provides are central to the productivity of our AI developers.  Improvements in this space quickly lead to enormous impact for Cruise.

The way this manager will deliver impact may vary depending on the situation but they will be expected to develop and manage a successful team, and effectively communicate with stakeholders.

What You’ll Do (Responsibilities)

• Lead the team responsible for improvements to our C++ / Python / AI development ecosystem and workflows, which have a measurable and direct impact on engineering productivity.

• Collaborate with engineers across the company to understand and support their development workflows.

• Own technical projects from start to finish and be responsible for major technical decisions and tradeoffs.

• Drive complex projects that span teams, with many partners and customers.

• Effectively drive planning, code reviews, and design discussions.

• Contribute impactful projects to the team’s roadmap, and work to load balance across the team with respect to motivations and career needs.

• Thrive in a fast-paced, collaborative work environment where impact is a result of your efforts and where your contribution is highly visible.

• Drive software engineering best practices both within our team and across engineering.

• Mentor and drive career conversations for engineers on the team.

• Conduct technical interviews with well-calibrated standards and play a crucial role in recruiting activities.

• Be a positive contributor to our team culture.

Minimum Qualifications (Must-Have)

• 5+ years of experience leading design, buildout, and operation of production systems at scale in the cloud

• Bachelors Degree in Computer Science or related field or equivalent work experience

• Experience with / knowledge of developer tooling, build systems, C++, Python, etc.

• Experience with / knowledge of compiler toolchain integrations (clang, gcc, nvcc, etc.).

• Experience leading teams with broad, company-wide impact.

• Attention to detail, and a desire to improve processes & systems around you.

• Deep understanding of the business and operational impact for different technology tradeoffs.

• Passion for developing and growing individual contributors.

• Passion for leading with empathy, and developing a healthy team culture of balance and inclusion.

• Passion for self-driving technology and its potential impact on the world.

Preferred Qualifications (Nice-to-Have)

• 3+ years of experience managing software engineering teams.

• Experience programming with C++, Python, or Go.

• Experience with static and dynamic analysis tools (e.g., axivion, valgrind, asan, tsan, etc.).

• Experience with build systems such as Bazel or Buck.

• Experience with ML ecosystem frameworks (e.g., PyTorch, TensorFlow, CUDA tools, etc.).

• Experience with cloud infrastructure.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.  

• The salary range for this role: is $200,000 to $285,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.
The selected candidate will be required to travel <25% for this role.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to the office in [Austin, Detroit, Warren, Milford, Mountain View or Sunnyvale] a minimum of 3 days per week. This position can be considered Remote if the successful candidate is in the Seattle, Washington area.

About Us

The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhancing the entire development process of engineers at GM — how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain.

The Role

We are looking for a Senior Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As an IC leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers.

The Team

As a part of the AV Developer Productivity Org, the AV Developer Experience is responsible for creating and maintaining a robust, reliable, and cohesive inner loop development experience for AV developers at GM to optimize the rate at which quality code is produced at Cruise. We achieve through a combination of internally developed tools, vendor tools, and vendor tool integrations.

The way this engineer will deliver impact may vary depending on the situation, but they will be expected to be able to identify how they can best have impact with minimal guidance.

What You’ll Do

• Identify engineering pain points and propose/design/implement solutions that are reliable, scalable, and maintainable

• Synthesize large amounts of company, org, customer information and context to establish priorities and influence the team’s technical roadmap

• Evaluate new tools and technologies through PoCs

• Ship improvements to our AV development toolchains and services which have a measurable and direct impact on engineering productivity and our core company metrics

• Drive software engineering best practices within your team, and create tooling which encourages these

• Help steer the engineering culture on the team

• Guide the team to find the right balance between delivering impact and addressing technical debt

• Mentor and grow engineers on the team

• Set the example for high levels of accountability

• Execute and deliver impact both individually and through the team

• Set strong boundaries when selecting external requests and pushing back on requests that do not align with our team vision

Your Skills & Abilities (Required Qualifications) 

• 3+ years of experience designing, building, and operating production systems at scale in the cloud

• Bachelors Degree in Computer Science or related field or equivalent work experience

• Understanding of AI Engineering principles and concepts

• Experience designing highly scalable, reliable, and maintainable services

• Experience writing in effective Go or other equivalent languages at production scale

• Understanding of Unix/Linux, SSH, and networking fundamentals

• Attention to detail, and a desire to improve processes and systems around you

• Ability to lead and influence others, both internal and external to the team

• Principled reasoning and the ability to research, document, communicate, and defend proposals, and provide and take critical feedback

• Ability to effectively make trade-offs and communicate the reasoning

• Ability to manage competing priorities, focus on shipping, and work effectively under pressure

• Passion for mentoring and growing junior engineers

• Passion for leveling up the overall efficiency and effectiveness of the team

• Passion for self-driving technology and its potential impact on the world

What Will Give You a Competitive Edge (Preferred Qualifications)

• Experience designing, building, and operating production systems at scale in the cloud

• Experience working with GCP

• Experience working with gPRC, Docker, and Kubernetes

• Experience owning or contributing to Open-Source projects

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is $108,420 to $161,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Relocation: This job may be eligible for relocation benefits.

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum. 

GM-AV-1

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
The selected candidate will be required to travel <25% for this role.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX or Warren, MI three times per week, at minimum [or other frequency dictated by the business if more than 3 days].

The Role

General Motors uses telematics data as a cornerstone of its software-defined vehicle strategy, enhancing safety, security, and product development to create an exceptional customer experience. Analytical insights from this data lead to improvements in operational efficiency, maintenance, and vehicle performance as well as address the need for intelligent (ADAS), sustainable transportation (EV). Our analytical datastore team owns the platform that streams and stores this data from millions of vehicles around the globe.

We seek a polyglot engineer with a strong background in data and software, experienced in designing and maintaining large-scale systems. This technical leadership role requires a passion for quality, efficiency, and reliability. As a senior data engineer, you'll be building the platform to enable thousands of use cases that require telematics data. You will play a key role in our team's success, supporting hundreds of internal analytics users and enhancing the experience for millions of retail and fleet customers. This is a high-visibility role!

What You’ll Do

• Develop a scalable data platform to support continuing increases in data volume and complexity
• Develop and maintain data pipelines to ingest, process, and curate large volumes of data using Spark, Kafka, Event Hubs, Azure Data Lake Storage, or similar technologies
• Support the infrastructure required for optimal ingestion, transformation, and storing of data
• Collaborate with data scientists to support the needs of advanced ML development
• Design and implement rigorous data observability, validation, governance, and quality checks
• Mentor and support junior engineers by providing guidance, coaching and educational opportunities
• Simplify, simplify, simplify… and document your work!

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree in Computer Science, Software Engineering, or a related field
• 5+ years of experience in data engineering including Python or Scala, SQL, and relational/non-relational data storage
• 3+ years of experience in distributed, petabyte-scale data processing using Spark as well as container orchestration technologies like Kubernetes
• Strong with performance tuning strategies such as partitioning, clustering, caching, and various other serialization techniques
• Strong with infrastructure as code (IaC) and CI/CD best practices
• Proven cloud experience and familiarity with at least one cloud platform (Azure preferred)
• Strong background in any of the following: data architecture, data governance, metadata management, data quality, observability, or MLOps
• Knowledge in schema design and data contracts
• Excellent teamwork and leadership skills to collaborate and influence across product, program, and engineering

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Master's degree in Computer Science, Software Engineering, or a related field
• Experience in processing and storing various file formats, including video, audio and image
• Experience with tools such as Databricks or Snowflake – this is where the vast majority of our downstream consumers live.

This job may be eligible for relocation benefits.

Compensation:

• The expected base compensation for this role is: $134,000 - $219,000. Actual base compensation within the identified range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

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About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

We are seeking a Staff Systems Engineer to join the Vehicle Systems Engineering organization, supporting the Software-Defined Vehicle (SDV) architecture Chassis products: braking, steering, and suspension. This role operates in a highly complex technical space with significant cross-domain dependencies spanning software, hardware, electrical architecture, validation, and virtual environments.

The ideal candidate is comfortable working in ambiguous problem spaces, can navigate evolving requirements, and is able to establish themselves as a technical leader by driving clarity, alignment, and robust system solutions. You will translate high-level product intent into scalable, testable system architectures using Model-Based Systems Engineering (MBSE), while influencing technical direction across programs and organizations, including helping shape and influence future SDV and chassis systems architecture direction.

What You’ll Do:

• Lead system-level architecture, definition, and integration of Chassis systems using MBSE.
• Decompose product and program intent into system models, functional architectures, and testable software and hardware requirements.
• Develop and maintain system blueprints, including functional decomposition, logical architectures, interface definitions, requirements, allocations, and FMEAs.
• Own and evolve MBSE artifacts, such as functional models, use-case, activity, sequence, and context diagrams.
• Allocate and partition system functionality across multiple implementation teams, supporting architectural trade studies and optimization.
• Define and maintain co-simulation and virtual validation strategies, including simulation architectures and acceptance criteria.
• Work closely with software, hardware, validation, electrical architecture, and platform teams to manage complex interdependencies and integration risks.
• Support system integration, calibration, validation, and issue resolution, including root cause analysis across domains.
• Ensure system designs meet safety, regulatory, quality, and performance requirements, supporting certification and approvals.
• Drive continuous improvement in MBSE adoption, modeling quality, and virtual validation capability.
• Clearly document technical decisions, trade-offs, and deliverables across the product lifecycle.

Key Responsibilities

• System architecture definition and modeling using MBSE
• Functional decomposition and end-to-end requirement traceability
• Managing change, dependencies, and architectural allocation using system models
• Co-simulation strategy and system-level validation planning
• Definition of acceptance criteria and “definition of done” for system deliverables
• Providing technical leadership in complex, cross-functional environments, fitting well with technical expectations for system integration, fault strategy ownership, and architectural influence

Core Technical Capabilities

• Chassis system architecture, including brake, steering and suspension background
• Understanding of communication networks and ECUs (body, gateway, chassis, infotainment-adjacent, and domain controllers).
• Knowledge of CAN, LIN, Ethernet, and diagnostics (UDS) as they relate to chassis system behavior and dependencies.
• Familiarity with SDV concepts, including centralized compute, service-based architectures, and decoupling software from hardware.
• Ability to analyze and resolve system-level issues related to chassis, including system latency and hardware dependencies
• Experience with system-level FMEAs, fault handling strategies, and graceful degradation in chassis systems.
• Understanding of integration between chassis systems and related propulsion domains (e.g., VMS interactions, system latency, safety states).
• Experience supporting system validation, including HIL/SIL, vehicle testing, and virtual validation approaches.
• Strong systems thinking across electrical, software, and functional domains to manage complex dependencies.

Your Skills & Abilities (Required Qualifications):

• Bachelor's degree in engineering (Systems, Electrical, Software, Mechanical, or related field).
• 7+ years of experience in systems engineering or software-intensive automotive development.
• Strong expertise in systems architecture, MBSE, requirements development, integration, and validation.
• Solid background in model-based development and virtual simulation.

LI-JK3

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

About the Team:

The ML Inference Platform is part of the AV ML Infrastructure organization. Our team owns the cloud-agnostic, reliable, and cost-efficient platform that powers GM’s AI efforts. We’re proud to serve teams developing autonomous vehicles (L3/L4/L5), as well as other groups building AI-driven products for GM and its customers. We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use cases. Our platform supports the serving of state-of-the-art (SOTA) machine learning models for experimental, online and bulk inference, with a focus on performance, availability, concurrency, and scalability. We’re committed to maximizing GPU utilization across platforms (B200, H100, A100, and more) while maintaining reliability and cost efficiency.

About the Role:

We are seeking a Senior ML Infrastructure engineer to help build and scale robust platforms for ML Inference workflows. In this role, you’ll work closely with ML engineers and researchers to ensure efficient model serving and inference in production, for workflows such as data mining, labeling, model distillation, evaluations, simulations and more. This is a high-impact opportunity to influence the future of AI infrastructure at GM. You will play a key role in shaping the architecture, roadmap and user-experience of a robust ML inference service supporting real-time, batch, and experimental inference needs. The ideal candidate brings experience in designing distributed systems for ML, strong problem-solving skills, and a product mindset focused on platform usability and reliability.

What you’ll be doing:

• Design and implement core platform backend software components.
• Collaborate with ML engineers and researchers to understand critical workflows, parse them to platform requirements, and deliver incremental value.
• Lead technical decision-making on model serving strategies, orchestration, caching, model versioning, and auto-scaling mechanisms for highly optimized use of accelerators.
• Drive the development of monitoring, observability, and metrics to ensure reliability, performance, and resource optimization of inference services.
• Proactively research and integrate state-of-the-art model serving frameworks, hardware accelerators, and distributed computing techniques.
• Lead technical initiatives across GM’s ML ecosystem.
• Raise the engineering bar through technical leadership, establishing best practices.
• Contribute to open source projects; represent GM in relevant communities.

Minimum Requirements

• 5+ years of industry experience, with focus on machine learning systems or high performance backend services.
• Expertise in either Python, C++ or other relevant coding languages.
• Expertise in ML inference, model serving frameworks (triton, rayserve, vLLM etc).
• Strong communication skills and a proven ability to drive cross-functional initiatives.
• Ability to thrive in a dynamic, multi-tasking environment with ever-evolving priorities.

Preferred Qualifications

• Deep expertise building zero-to-one ML infrastructure platforms.
• Experience working with or designing interfaces, apis and clients for ML workflows.
• Experience with Ray framework, and/or vLLM.
• Experience with distributed systems, and handling large-scale data processing.
• Familiarity with telemetry, and other feedback loops to inform product improvements.
• Familiarity with hardware acceleration (GPUs) and optimizations for inference workloads.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.   

• The salary range for this role is $155,420 to $205,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Relocation: This job may be eligible for relocation benefits.  

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Staff Hardware Engineer / Technical Specialist – SDV2.0 Aggregator

The Role

To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, GM’s Electrical System Architecture is evolving. GM’s zonal ECU - Aggregators and Extenders – are core of this evolution to provide robust platform to our customers.

GM’s Software Define Vehicle Architecture are evolving

• Domain ECU to Zonal ECU enabling central compute
• CAN/LIN focused system to Ethernet based system
• Electrical Fuse replacing thermal fuse for power efficiency
• Specific purpose IO to general purpose IO covering various domain
• Optimize low voltage architecture as a system including APM (DC/DC), Lithium Ion Battery, Zonal Power distribution via Aggregator/Extenders

Staff Hardware Engineer / Technical Specialist – SDV2.0 Aggregator/Extender – will be the global voice for technical expertise for component and/or subsystem. Establish and maintain a clear strategy for the electrical components aligned with various subsystem including Body, Chassis, Low Voltage Electrical Power(sub)system. Ensure reuse and technical excellence of engineering solutions and components. Work with the key stakeholders from execution, performance, and support teams to ensure common implementation of strategy and to promote technical knowledge for the component and

We are seeking a high performing independent engineer with demonstrated technical skills to develop winning/robust BOM strategies aligned with system, oversee solutions, resolve issues, and deliver continuous improvement for the Aggregator & Extender.

Responsibilities

The Technical Specialist will utilize engineering tools and processes to successfully develop component requirements for vehicle programs. Effectively lead/support a global team of Hardware Design Team, DRE(design release engineers) to ensure they meet program landmarks by thorough and rigorous program management. Coach and support in house design team or suppliers to timely execution of work you're leading with excellence. Highly technical engineer with either depth of knowledge in Electric Power and/or vast knowledge in vehicle safety systems and electronic control systems.

• Conduct Benchmarking
• Understand (sub)system requirements and translate them into CTRS (component technical requirements specification)
• Maintain and refresh BOM Strategies
• Create Family / Variant Maps / Program Rollout Plans
• Expert knowledge of current Electric Power Applications
• Intimate knowledge of hardware and software interfaces
• Bridge between Global requirements and Aggregator/Extender component requirements
• Create and Maintain Best Practices and Inherent Criteria
• Approve or support BOM Picks and deliver BOM which meets Imperatives (Cost, Mass, Investment, Quality)
• Approve Program SORs and Sourcing Decisions
• Review Regulations and provide guidance to Design Release Engineers (DREs) on designs to ensure designs can meet both internal requirements and regulatory compliance
• Support Supplier Development and Qualification
• Approve Peer Reviews and identify issues (e.g. integration, interfaces, systemic issues)
• Engineering Change Request (ECR) support/approval
• Support Assembly Plant issue resolution
• Provide technical leadership for troubleshooting activities to support PRTS Issue Resolution
• Perform read across for Safety Tether PRTS
• Perform read across for NHTSA Recalls of competitors
• Support Product Investigations (SFI Process)
• Support Cost Reduction
• Lead Global Electric Power work group meetings
• Provides guidance and consultation to Design Release Engineers (DREs) in product development team meetings
• Create and maintain Best Practices
• Create ICDe and ICDm Templates
• Support CR/DNs
• Support cross functional forums related with Electric Power (ART, Safety, JIRA, etc.)
• Demonstrated ability to work cross-functionally within Electrical and across other SMTs.
• Collaborate and strategize with Aggregator TS, Electric Power (Sub)system TS, and Safety

Requirements

• Software Defined Vehicle Experience / Zonal ECU
• BS in Mechanical Engineering, Electrical Engineering, Computer Engineering, Biomedical Engineering, Computer Science, Math, Physics
• Minimum of 10+ years of experience in applying microprocessor-based controllers to automotive vehicle electrical systems.
• In-depth knowledge of serial data communications
• In-depth knowledge of requirements engineering process (FMEA, Preliminary Hazard Analyses)
• In-depth knowledge of verification and validation processes
• In-depth knowledge of embedded software development, testing and associated tools
• Understanding of hardware design and failure modes
• Understanding of engineering theory and principles of operation of mechanical/electrical mechanisms
• Thorough knowledge of design development and test engineering, manufacturing and assembly operations, engineering processes and procedures.
• Thorough knowledge of vehicle service procedures.
• Highly developed oral and written communications skills
• Demonstrated ability to work cross-functionally within Electrical and across other SMTs.
• Demonstrated problem solving ability.
• High level of interpersonal skills to work effectively with others, motivate employees, and elicit work output
• Very high level of analytical problem-solving skills where problems are very unusual and extremely difficult.

Desired Skills

• MS in Mechanical Engineering, Electrical Engineering, Computer Engineering, Biomedical Engineering, Computer Science, Math, Physics
• 12+ years of experience in applying microprocessor-based controllers to automotive vehicle electrical systems
• Experience in Passive Safety Electronics
• DFSS Black Belt Certification
• Certified Safe Agilist or SAFe Practitioner

LI-SW1

Why Join Us

At GM, you’ll be at the forefront of shaping the future of connected, electric, and autonomous vehicles. You’ll work on cutting-edge antenna systems alongside some of the brightest minds in automotive and RF technology — with the resources to make an impact at scale. We offer competitive compensation, growth opportunities, and a culture that values innovation, inclusion, and forward thinking. This is a unique opportunity to lead, innovate, and help millions of customers around the world stay connected on the move.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Compensation:

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. This compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

The expected base compensation for this role is: $200,000 - $235,000. Actual base compensation within the identified range will vary based on factors relevant to the position and location.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.   We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. 

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role 

As a Software Engineer on the Metrics Frameworks team, you will lead the development of tooling to monitor and improve our pipelines’ data quality. These pipelines support road event monitoring, data mining and training, and simulation metrics.  We are seeking an experienced software/data engineer to build telemetry, data quality inspection tooling, dashboards, and alerting that establish guardrails on data quality (e.g., delay, accuracy, completeness). Your work will increase confidence in our data and downstream metrics for internal customers. These metrics will support and accelerate feature design, prioritization, and development, as well as evaluate the impact of newly released features.

About the Organization: The Metrics Frameworks team falls within the Simulation, Evaluation, and Data organization, which is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies. The Metrics Frameworks team focuses on creating, maintaining, and evolving the analytics framework that supports GM's goal of safe, high-performing, and scalable driverless technology. The team delivers robust and scalable tools that facilitate data-driven decision-making throughout the AV feature development lifecycle. We collaborate closely with Simulation Evaluation, Embodied AI, and System and Test Engineering teams, enhancing productivity across the organization by developing automation tools and shared libraries. We are accountable for the performance, reliability, and scalability OKRs of the analytics framework. This includes, but is not limited to: developing customized analytics workflows; improving operational telemetry and dashboards to track relevant KPIs for prioritization; and identifying, designing, and implementing solutions to achieve key results.

What You’ll Do

• Lead the design, implementation, and roadmap development for tooling that monitors data quality from various sources (simulation, road, etc.) and empowers users to debug data issues and build quantitative analysis pipelines.

• Accelerate the team’s effectiveness by designing and implementing scalable automation tools for inspecting data ingestion, processing, inspection, debugging, and performance monitoring.

• Build and optimize data processing pipelines to handle large volumes of testing data, enabling low-latency insights for AV testing performance.

• Collaborate with other frameworks and data infra teams to build and deploy tools that improve developer productivity and data reliability.

• Work closely with autonomous vehicle engineering teams to enable rapid iteration, model feedback, and metrics-driven decision-making.

• Maintain a high technical bar for code quality and system design through architectural and code reviews.

Your Skills & Abilities

• Experience with writing Python in a production environment (unit testing, code review, algorithm performance and tradeoffs, etc.)

• Experience with OLAP databases and SQL related technologies (e.g., Big Query, Databricks, DuckDB, etc)

• Experience with data orchestration and transformation tools like Airflow, DBT, etc

• Experience developing scalable software and data solutions used by many developers and stakeholders and capable of processing petabytes of data

• Experience with time-series data analysis and online performance monitoring tools

• Experience developing automation scripts (Python and Bash scripts)

• BS in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or Aerospace Engineering

• 5+ years of industry experience

• Strong organizational and communication skills

What Will Give You A Competitive Edge

• Familiarity with ROS, Python bindings for C++, and plotting/visualization libraries

• Experience working in the Autonomous Vehicle or Robotics industry

• Experience with full-stack languages and frameworks, such as Nest.js, React, Django, etc.

• Knowledge of machine learning frameworks and their application in testing automation and metrics generation.

• Experience building high performance framework / infrastructure and performance optimization in C++

• Experience working within a monorepo and using Bazel

Compensation

• The salary range for this role is $123,200 and $189,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits

• GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role:

As the Technical Specialist - HW/SW integration for the SDV 2.0 Aggregator supporting the Ultifi platform, you will plan, lead, and execute SDV 2.0 hardware–software as a product. You will provide technical direction for both internal GM teams and external suppliers, using quantitative and qualitative data to solve highly complex problems. You will also develop and drive strategic software and systems solutions that enable key business and program initiatives.

What You’ll Do:

• Serve as the system architect interface between in‑house Aggregator hardware design teams and GM software teams, leading production execution.
• Understand the SDV 2.0 Aggregator Hardware Product and Mechatronics Software Architecture (Farm–Aggregator–Extender) and lead/support development and release of software content aligned with program milestones.
• Interpret Aggregator/Extender requirements and software content needs across all project phases, including Design, Validation (PreDV, DV, PV), and key program deliverables (CVF, PPTB, PTB, PPV, MVB, SORP).
• Lead or support software architecture definition, RASIC alignment between Aggregator hardware, GM software teams, and associated delivery plans.
• Lead/support HSIS activities aligned with Aggregator hardware.
• Lead/support hardware/software integration troubleshooting at GM internal labs, benches, factories, and external locations (suppliers, dealers) as required to resolve issues.
• Prepare and coordinate software timing plans that ensure all program requirements and MRD dates are met with the appropriate level of software maturity.
• Lead/support maintenance of software functional component specifications.
• Participate in Product Development Team (PDT) meetings to coordinate development and integration of products into the vehicle.
• Represent Aggregator and Extender components at Vehicle Program Team and management reviews as requested.
• Author and approve Engineering Change Requests (ECRs) to release software.
• Drive resolution of software issues and roadblocks, escalating to leadership as appropriate.
• Support sourcing activities for infrastructure and software elements in partnership with Purchasing.
• Support integration and bench testing activities.
• Coordinate diagnostic development, integration, and testing for Aggregator/Extender functions.

Your Skills and Abilities (Required Qualifications):

• Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or related field.
• Minimum 5 years of experience applying microprocessor based‑ controllers to automotive vehicle electrical systems.
• Foundational understanding of software development, hardware/software co‑design, and verification/validation processes.
• Demonstrated technical and professional skills in a job-related area, with excellent problem‑ s‑olving skills involving complex systems.
• High level of oral and written communication skills.
• Strong program management skills with a proven ability to manage multiple priorities and deliver to milestones.
• Effective interpersonal skills with the ability to influence across functions and resolve priority conflicts.

What Can Give You a Competitive Edge (Preferred Qualifications):

• Direct hands-on experience developing real‑-time‑ controls software using languages such as C/C++, Java, or Assembly, and scripting languages such as Python and other modern scripting languages.
• Understanding of operating systems (e.g., Unix, Linux, RTOS for embedded systems) and instrumentation tools (e.g., INCA, in-circuit‑ emulators, dSPACE).
• Familiarity with configuration management systems (e.g., Git) and build/CI tools (e.g., Jenkins, eflow).
• Master’s degree in Hardware, Computer, Electrical, or Software Engineering.
• Experience with automotive product release and specification processes.
• Knowledge of microcontroller architectures, memory technologies, and programming.
• High-level‑ understanding of hardware design and electronic module failure modes.
• Working knowledge of vehicle serial data communications (e.g., Ethernet, CAN, LIN).
• Demonstrated proficiency in writing and interpreting software and hardware requirements.
• Strong understanding of software verification and validation processes.
• Experience performing system and component level‑ DFMEAs (preferred).
• Experience using DFSS or similar structured problem-solving‑ and design methodologies (preferred).

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.

The Role:

We are seeking a Principal AI Engineer to lead the design and advancement of our AI platform. You will play a key role in shaping the infrastructure that powers large-scale training and cloud inference. This includes accelerating training throughput, scaling multi-modal models, and enabling the next generation of AI-driven driving systems. We're tackling challenges across distributed training, training efficiency, DDP/FSDP, data processing pipelines, and Pytorch model optimization. This is a highly impactful position where your technical leadership will define how we scale AI to achieve autonomy.

What You’ll Do:

• Architect, build, and optimize core AI/ML platform infrastructure to support massive-scale model training.
• Collaborate with data scientists, ML engineers, and software developers to enable seamless workflows from research to production.
• Drive efficiency in large-scale distributed training and data processing pipelines.
• Establish best practices for reliability, scalability, and performance across the AI/ML platform.
• Provide technical leadership and mentorship, guiding teams on platform design, architecture decisions, and emerging technologies.
• Partner with cross-functional stakeholders to align platform capabilities with business needs and strategic AI initiatives.

Your Skills & Abilities (Required Qualifications):

• Bachelor’s degree or higher in Computer Science, related field, or equivalent experience.
• 8+ years of professional software engineering experience.
• 4+ years of specialized experience in AI/ML domain (e.g., enabling distributed training for large-scale models).
• Strong programming skills in Python, with proficiency in frameworks such as PyTorch (preferred) or TensorFlow.
• Experience with distributed systems, GPU computing, and cloud environments (AWS, GCP, or Azure).
• Comfortable operating in highly ambiguous and dynamic environments.
• Willingness to travel to Sunnyvale, CA as needed.

What Will Give You a Competitive Edge (Preferred Qualifications):

• Proven track record of self-motivation, execution, and delivering impact.
• Deep expertise with PyTorch 2.x+ and distributed training frameworks.
• Strong skills in profiling, analysis, debugging, and optimizing training performance (e.g., avoiding memory fragmentation, operation fusion).
• Proficiency in C++ for performance-critical components.
• Experience leading cross-functional projects and aligning diverse stakeholders on priorities.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. 

• The salary range for this role is $296,300 to $453,200. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. 

#GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.   

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Data Scaling team owns the Data Flywheel for AV Foundation model development and successive fine tuning. It defines the composition of the data that is needed for the AV to learn behaviors at scale and deliver the driving behaviors necessary for the product success. The team owns the definition and processes for data quality across the data loop.   

The team directly works on and delivers ML models to the product that successively go up the Data Scaling curves, thereby directly impacting AV product performance through smart use of data. As part of this work, the team builds scalable systems and pipelines that attempt to 10x the data used, its diversity and impact on the models with successive major releases. The team uses existing very large datasets that GM has access to internally as well as defines the next generation of highest value datasets that GM continues to collect – both from real driving by GM and retail fleets, but also synthetic sim-based datasets.  

Why Join Us?

• Scale up AV foundation model pre-training and fine-tuning with data to its maximum capacity – into billions+ of examples - across different sources, delivering the maximum value to the model through every additional example.
• Work with cutting-edge technology and a collaborative, high-impact team of AI/ML engineers, data scientists and engineers who are passionate about leveraging advanced AI techniques to drive innovation for L2, L3 and L4 applications.
• Contribute to the safety, reliability, and scalability of next-generation autonomous vehicles.

As a Principal Technical Lead in the Embodied AI Data Foundations organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions maximally leveraging multiple sources of data including real and synthetic datasets, directly impacting autonomous driving performance. Towards this goal, you will lead the development of novel curation algorithms, pre-training, post-training and fine-tuning recipes for training AV models.

Your role is pivotal in designing, architecting, and deploying data curation and training pipelines while simultaneously delivering advanced ML models that continue to go up scaling curves. These models will reliably and safely navigate diverse real-world scenarios and conditions. You'll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor ML engineers, and significantly shape the future of onboard and offboard ML capabilities.

What You'll Do:

• Design and implement technologies that align our models to GM’s mission.

• Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, guidance, and selection to raise the performance of our models and provide a layer safety and reliability.

• Collaborate with cross-functional teams to integrate & align distillation recipes of foundation models for onboard driving models.

• Conduct research and stay updated on the latest advancements in AI frameworks and libraries.

• Lead projects from ideation to deployment, documenting learnings and best practices along the way.

• Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement.

Your Skills & Abilities:

• Bachelor’s, Master’s or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field.

• Proven experience working with large-scale Foundation Models and alignment methods to translate research into real-world impact.

• Proven experience delivering applied research in the wild and maintaining best practices while working on tight deadlines.

• Proficiency in frameworks such as PyTorch and languages such as Python.

• Proven experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams.

• Strong data processing skills using tools like Numpy, Pandas, and Apache Spark.

• Excellent communication skills to effectively collaborate with diverse teams and stakeholders.

• Experience deploying foundation models into production environments and understanding the end-to-end process.

• Previous experience in Robotics or Autonomous Driving.

Remote/Hybrid: This role is categorized as fully remote or hybrid.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. 

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Relocation: This job may be eligible for relocation benefits.

LI-CX1

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.  

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role

As a Senior Machine Learning Engineer for Perception within the Embodied AI organization, you will own the end-to-end pipeline for safety-critical ML perception models, from initial research and large-scale data curation to optimization and real-time deployment on the vehicle's compute platform. Your primary mission is to enable the vehicle to accurately and reliably see, classify, and track everything in its environment—from rare road markings and complex intersections to vulnerable road users (VRUs).

Responsibilities ​

• End-to-End Model Lifecycle: Own the design, training, validation, and deployment of deep learning models for core perception tasks such as:
• 3D Object Detection and Tracking (vehicles, pedestrians, cyclists).
• Real-time map detection of the drivable world (lanes, road boundaries, traffic signs).
• Multi-Modal Sensor Fusion (Camera, LiDAR, Radar).
• Production Pipeline: Build and scale the ML training infrastructure, including data mining and loading, multi-stage training and evaluation, to streamline model development.
• Performance Optimization: Improve model performance through data iterations, parameter tunings, training strategy and architecture updates to produce reliable models that meet and the strict real-time, low-latency requirements on the vehicle's embedded hardware.
• Model Debugging: Conduct rigorous, data-driven analysis to identify, debug, and resolve performance degradations and failures, specifically targeting long-tail and adversarial scenarios (e.g., adverse weather, sensor noise, occlusions).
• Metric Definition: Define and implement robust model-level metrics to aid model development.
• System Integration: Work closely with the Safety, Systems, and other engineering functions to integrate Perception outputs.

Skills & Experience ​

• BS, MS or PhD in Computer Science, Machine Learning, Robotics, or a related quantitative field.
• 5+ years of professional experience with a focus on Computer Vision, Deep Learning, and Perception in a production environment.
• Deep hands-on experience with modern deep learning frameworks (e.g., PyTorch or TensorFlow) for training, experimentation, and debugging complex DNNs.
• Proven experience working with and fusing data from multiple sensor modalities (Camera, LiDAR, and/or Radar).
• Practical experience deploying and optimizing ML models for resource-constrained, real-time embedded systems.
• Demonstrated ability to drive model improvements through large-scale data analysis, error logging, and data curation.

Bonus:

• Expertise with Transformer-based models for 3D detection, tracking, and scene understanding.
• Technical leadership experience, including mentoring junior engineers and leading major feature development from concept to launch.
• Contributions to relevant academic publications (CVPR, ECCV, ICCV, IROS, NeurIPS etc.).

Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum. 

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. 

• The salary range for this role is $170,600.00 to $261,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This job may be eligible for relocation benefits.

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Job Description Summary

General Motors is at the forefront of the transformation of automotive with the electrification of our portfolio and the development of leading-edge central compute and autonomous capabilities. Our ECU Electrical team is a dynamic, high-energy, and innovative group focused on developing electrical design of next generation ECUs (Electronic Control Units).

The team also reviews and approves production ECU design changes.

We are seeking a high-performing PCB Layout Hardware Design Engineer interested in leading the in-house development of GM electronics design. You will be responsible for the electrical design, development, and review of Electrical Controllers, for our next generation SDV (Software Defined Vehicle) architecture. You will be depended upon to build strong partnerships with internal and external customers.

Job Description:

This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI location three times (Tues., Wed., Thurs.) per week, at minimum [or other frequency dictated by the business].

The Role:

In-vehicle electronics is a fast-growing technology in the global automotive industry featuring many cutting-edge technologies such as Compute, body controllers, multi-view cameras, Gig+Ethernet, PCIe, digital/analog interfaces and more. We are looking for creative and enthusiastic candidates to become part of a fast-moving team who want to lead the future direction of the automotive industry.

The ECU hardware design team’s mission is to ensure our products are designed to target the growing needs of our customers while ensuring robust, well-designed hardware which meets GM specifications and testing requirements from early hardware through the production design. In this role you will be responsible for leading product development and integration activities.

Responsibilities for the Hardware Design Engineer - PCB layout include utilizing engineering tools and processes to successfully develop components and systems for vehicle programs. You'll effectively achieve program milestones by thorough and effective program management. You will coach and lead suppliers to timely execution of program work with excellence.

Responsibilities:

• Responsible for creating and designing the physical layout of integrated circuits (ICs) or printed circuit boards (PCBs). This involves placing and routing components, traces, and other elements to ensure proper functionality and performance.
• Create / lead / verify the layout design by conducting design rule checks (DRC) and design for manufacturability (DFM) checks. This ensures that the design meets the required specifications, constraints, and manufacturing capabilities.
• Create / collaborate closely with other design teams, such as circuit designers, system engineers, and packaging engineers, to understand design requirements and constraints. They work together to optimize the layout design for performance, power, area, and manufacturability.
• Select the appropriate technology and process for the layout design based on the project requirements, such as the target application, performance goals, and manufacturing capabilities.
• Optimize the layout design for various factors by working with SI/PI/EMC/Thermal/Mechanical subject matter experts. They ensure that the layout design meets the required performance and reliability criteria.
• Support ECAD librarians by ensuring development of ECAD library parts meet PCBA Design for Manufacturing (DFM) & GM resiliency requirements.
• Collaborate with component engineers, procurement, and supply chain teams to select appropriate components for PCBA design.
• Apply Design for Assembly (DFA) principles to ensure PCBA design is optimized for efficient assembly processes.
• Identify opportunities for process improvements, cost reduction, and quality enhancement in PCBA manufacturing.

Qualifications:

• Bachelor of Science in Engineering Required
• Professional experience creating digital/analog HW interfaces including schematic creation and/or PCB layout, simulation & supportive documentation
• Up to 7 years working experience in PCB layout design
• Experience in design & analysis tools like Mentor Graphics (schematic & layout)

Preferred Qualifications:

• Previous industry experience with infotainment, telematics or connectivity
• 5 years or more experience in PCB layout design
• Knowledgeable in High speed Communication Buses (Ethernet, PCIe, SerDes…)

LI-SW1

General Company Expectations

At this level you are expected to operate with a high level of independent discernment and are typically responsible for implementing functional strategy, administering and coordinating programs, counseling and advising management.

As a fully-qualified individual contributor who has thorough knowledge and understanding of all aspects of the function, you will provide expert judgment and analysis for the design, development and implementation of technical products and systems.

Resolve highly complex technical issues and conducts advanced research.

Recommend alterations to development and design to improve quality of products and/or procedures.

Skilled and proficient with a variety of the field's concepts, practices, and procedures.

Rely mostly on extensive personal experience and discernment to plan and accomplish goals.

You will perform multiple tasks. Lead and likely direct the work of others. A wide degree of creativity and latitude is expected.

Why Join Us

At GM, you’ll be at the forefront of shaping the future of connected, electric, and autonomous vehicles. You’ll work on cutting-edge antenna systems alongside some of the brightest minds in automotive and RF technology — with the resources to make an impact at scale. We offer competitive compensation, growth opportunities, and a culture that values innovation, inclusion, and forward thinking. This is a unique opportunity to lead, innovate, and help millions of customers around the world stay connected on the move.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.   We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. 

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.  

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

As a State Estimation Engineer within the SEAM Embodied AI organization, you will be an individual contributor driving cutting-edge localization and sensor calibration solutions that directly impact autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced systems for purposes including pinpointing the vehicle’s location in the world, and calibrating parameters of all sensors to ensure they optimally support many other vehicle subsystems. You'll participate in critical technical initiatives, collaborate closely with cross-functional teams, work with senior engineers across the organization, and significantly shape the future of onboard autonomous driving capabilities. 

What You'll Do

• Drive the design, development, and deployment of advanced solutions for state estimation, localization, sensor calibration and more.
• Lead and architect critical infrastructure for validating localization and sensor calibration systems, and for continuously monitoring localization performance on deployed vehicles,
• Help to ensure high software quality, through build-out of continuous integration components such as regression test suites and simulation scenarios.
• Ownership of vital tools used by our teams for prototyping new solutions, debugging issues observed on real vehicles, and accelerating development of test infrastructure.
• Collaborate closely with multidisciplinary engineering groups, ensuring seamless integration of localization, sensor alignment, and other capabilities into autonomous vehicle systems.
• Influence technical roadmaps, shaping strategic priorities aligned with company objectives and product milestones.

Your Skills & Abilities

• Master's or B.S. in Robotics, Computer Science, Electrical Engineering, or a related technical field.
• 3+ years of experience developing and deploying software for real-time applications and/or cloud infrastructure.
• 1+ years of background in state estimation and/or sensor calibration.
• Strong software engineering proficiency, particularly in C++ and Python, alongside extensive hands-on experience with development, integration, and testing tools.
• Excellent communication and collaboration abilities, comfortable influencing technical strategy and guiding engineering excellence across the organization.

Bonus

AV/ADAS experience is a big plus

Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $138,200.00 to $211,700.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This job may be eligible for relocation benefits.

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Sr Staff AV Behavior Safety Engineer

The Safety Assurance for Effective Autonomous Driving Software (SAFE‑ADS) department is part of GM’s Global Product Safety, System, and Certification (GPSSC) organization. Our mission is to help GM deliver trusted automated‑driving products.  As the central authority for automated driving system (ADS) safety, SAFE‑ADS brings together experts from across the company to develop and maintain a comprehensive safety case including safety performance indicators for GM’s automated‑driving technologies.

GM’s vision is zero crashes, zero emissions, and zero congestion—and autonomous vehicle safety is essential to achieving that vision.

As a Sr Staff AV Behavior Safety Engineer, you will lead the strategy and support execution for how GM defines, measures, and validates the safety of SAE Level 3 – 4 Automated Driving Systems powered by machine‑learned models. You will report into the AV Behavior Safety organization and directly influence launch decisions for GM’s next generation of automated driving products.

If you are passionate about safety, have deep experience in autonomous vehicle development and validation, and are a proven technical leader in AI/ML‑driven systems, this role is an opportunity to shape how millions of people experience safe automated driving.

The Role

The AV Behavior Safety Engineering team is seeking a hands‑on engineer with extensive experience in the end‑to‑end development lifecycle of autonomous vehicle behaviors, from ODD and behavior definition through simulation, closed‑course, and public‑road validation.

You will:

• Reference and interpret standards such as ISO 21448 (SOTIF), ISO 5083, and AVSC best practices to define GM’s strategy for safe autonomous system development, validation and deployment

• Own the behavior‑focused portion of the ADS Safety Case, including key claims, sufficiency criteria, and recommended evidence for AV behavior safety performance.

• Collaborate with Software Validation, Embodied AI, Simulation, and Safety Metrics teams to define the end‑to‑end AV behavior validation methodology for AI‑driven systems.

• Set the strategy for how we systematically break down ODDs and how performance is validated per behavior and in aggregate.

• Collaborate on evaluation metrics, human benchmarks, and safety launch targets for AV behaviors and overall system performance.  This includes supporting development of safety performance indicators (SPIs) for AV behaviors.

• Assess AV performance across safety and reliability dimensions using simulation, closed‑course, and public‑road data and provide clear, prioritized feedback to engineering teams

• Define and run an assurance process to verify the sufficiency criteria and safety targets to support launch readiness

Why This Role Is Unique

• Impact at Scale: Your work will directly influence how GM brings safe automated driving systems to millions of customers.

• End‑to‑End Ownership: You will own the strategy, framework, and evidence assessment for AV behavior safety.

• Cross‑Functional Reach: You will collaborate across AI, software, validation, simulation, metrics operations and vehicle program teams, shaping the direction of GM’s automated driving roadmap.

If you’re excited to lead in autonomous driving safety, we’d love to hear from you.

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field

• 6+ years of experience in machine learning, engineering, data science, or a related field

• 6+ years in autonomous vehicle or robotics development or related field

• Demonstrated experience working on production‑intent AV programs

• Track record providing technical safety leadership in AV development (e.g., defining safety strategies, risk assessments, validation methodologies, safety case contributions).

• Deep understanding of AV behavior development: defining ODDs, behaviors, and evaluation criteria; analyzing simulation, closed‑course, and public‑road test data; and generating prioritized, actionable recommendations for developers.

• Experience applying AV safety standards and best practices, such as ISO 5083, ISO 21448 (SOTIF), and AVSC practices

• Excellent communication and storytelling skills, including the ability to explain complex technical tradeoffs to executives and non‑technical stakeholders.

• Proven ability to influence cross‑functional teams (Software, AI/ML, Systems Engineering, Product, Program Management, Operations) without direct authority.

• Strong problem‑solving mindset, comfort with ambiguity, and a proactive attitude toward learning and continuous improvement.

What Will Give You A Competitive Edge (Preferred qualifications)

• Masters Degree in Computer Science, Engineering, Mathematics or related field

• Programming & Frameworks: Python, R, Java,  PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL

• Machine Learning & AI: Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering

• Cloud & Big Data Platforms: (PreferredMicrosoft Azure (Data Lake, Machine Learning, Databricks)), Nice to Have (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) )

• Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira

• Data Analysis & Visualization: Tableau, PowerBI, Pandas, NumPy

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
       • The salary range for this role is $185,100 and $284,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
       • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
       • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

LI-KE2

This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager.
The selected candidate will be required to travel <25% for this role.
This position requires the ability to legally operate a motor vehicle on a regular basis and successfully complete a Motor Vehicle Report review.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Safety Assurance for Effective Autonomous Driving Software (SAFE‑ADS) department is part of GM’s Global Product Safety, System, and Certification (GPSSC) organization. Our mission is to help GM deliver trusted automated‑driving products.  As the central authority for automated driving system (ADS) safety, SAFE‑ADS brings together experts from across the company to develop and maintain a comprehensive safety case including safety performance indicators for GM’s automated‑driving technologies.

GM’s vision is zero crashes, zero emissions, and zero congestion—and autonomous vehicle safety is essential to achieving that vision.

As Sr Manager, AV Behavior Safety Engineering, you will lead the strategy and support execution for how GM defines, measures, and validates the safety of SAE Level 3 – 4 Automated Driving Systems powered by machine‑learned models. You will report into the AV Safety Strategy and Assurance organization and directly influence launch decisions for GM’s next generation of automated driving products.

If you are passionate about safety, have deep experience in autonomous vehicle development and validation, and are a proven technical leader in AI/ML‑driven systems, this role is an opportunity to shape how millions of people experience safe automated driving.

The Role

The AV Safety Strategy and Assurance team is seeking a hands‑on technical senior manager with extensive experience in the end‑to‑end development lifecycle of autonomous vehicle behaviors, from ODD and behavior definition through simulation, closed‑course, and public‑road validation.

You will:

Lead Technically

• Reference and interpret standards such as ISO 21448 (SOTIF), ISO 5083, and AVSC best practices to define GM’s strategy for safe autonomous system development, validation and deployment
• Own the behavior‑focused portion of the ADS Safety Case, including key claims, sufficiency criteria, and recommended evidence for AV behavior safety performance.

• Collaborate with Software Validation, Embodied AI, Simulation, and Safety Metrics teams to define the end‑to‑end AV behavior validation methodology for AI‑driven systems.

• Set the strategy for how we systematically break down ODDs and how performance is validated per behavior and in aggregate.

• Collaborate on evaluation metrics, human benchmarks, and safety launch targets for AV behaviors and overall system performance.  This includes supporting development of safety performance indicators (SPIs) for AV behaviors.

• Assess AV performance across safety and reliability dimensions using simulation, closed‑course, and public‑road data and provide clear, prioritized feedback to engineering teams
• Define and run an assurance process to verify the sufficiency criteria and safety targets to support launch readiness

Lead People

• Hire, lead, and develop a high‑performing AV behavior safety engineering team.
• Set clear goals and expectations, provide coaching and mentorship, and grow the team’s technical depth in AV behavior safety, validation, and safety case development.

Why This Role Is Unique

• Impact at Scale: Your work will directly influence how GM brings safe automated driving systems to millions of customers.
• End‑to‑End Ownership: You will own the strategy, framework, and evidence assessment for AV behavior safety.
• Cross‑Functional Reach: You will collaborate across AI, software, validation, simulation, metrics operations and vehicle program teams, shaping the direction of GM’s automated driving roadmap.

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• 8+ years of experience in machine learning, engineering, data science, or a related field
• 8+ years in autonomous vehicle or robotics development or related field
• Demonstrated experience working on production‑intent AV programs
• Track record providing technical safety leadership in AV development (e.g., defining safety strategies, risk assessments, validation methodologies, safety case contributions).
• Deep understanding of AV behavior development: defining ODDs, behaviors, and evaluation criteria; analyzing simulation, closed‑course, and public‑road test data; and generating prioritized, actionable recommendations for developers.
• Experience applying AV safety standards and best practices, such as ISO 5083, ISO 21448 (SOTIF), and AVSC practices
• Excellent communication and storytelling skills, including the ability to explain complex technical tradeoffs to executives and non‑technical stakeholders.
• Proven ability to influence cross‑functional teams (Software, AI/ML, Systems Engineering, Product, Program Management, Operations) without direct authority.
• Strong problem‑solving mindset, comfort with ambiguity, and a proactive attitude toward learning and continuous improvement.
• 3+ years of people leadership experience, including hiring, leading, and growing high‑performing technical teams.

What Will Give You A Competitive Edge (Preferred qualifications)

• Masters Degree in Computer Science, Engineering, Mathematics or related field
• Programming & Frameworks: Python, R, Java,  PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
• Machine Learning & AI: Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
• Cloud & Big Data Platforms: (Preferred Microsoft Azure (Data Lake, Machine Learning, Databricks)), Nice to Have (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) )
• Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira
• Data Analysis & Visualization: Tableau, PowerBI, Pandas, NumPy

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
       • The salary range for this role is $250,600 and $384,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
       • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
       • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

LI-KE2

This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager.
The selected candidate will be required to travel <25% for this role.
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Principal AI Safety Engineer for Autonomous Vehicles: Technical Lead

The Safety Assurance for Effective Autonomous Driving Software (SAFE‑ADS) department is part of GM’s Global Product Safety, System, and Certification (GPSSC) organization. Our mission is to help GM deliver trustworthy automated‑driving products.  As the central authority for automated driving system (ADS) safety, SAFE‑ADS brings together experts from across the company to develop and maintain a comprehensive safety case including safety performance indicators for GM’s automated‑driving technologies.

GM’s vision is zero crashes, zero emissions, and zero congestion—and autonomous vehicle safety is essential to achieving that vision.

The Role

The AV Safety Strategy and Assessment team is seeking an AI Safety Technical Leader with deep experience across the full end‑to‑end development lifecycle of automated driving system (ADS) technology driven by artificial intelligence and machine learning models. As the AI Safety Principal Engineer, you will stay current on industry best practices and standards while guiding the development of GM’s AI safety strategy for autonomous vehicles (AV). This role requires significant experience driving the technology development and validation of AI models for safety‑critical applications. The ideal candidate will bring strong AI domain expertise across safety engineering, data lifecycle management, model development, verification and validation, frameworks and tools, and operational assurance.

If you're passionate about autonomous vehicle technology, committed to advancing safety through innovation, and are a proven technical leader, this role offers an exciting opportunity to make a meaningful impact on the future of transportation safety in a dynamic and fun environment.

As the AI Safety Principal Engineer for AV, you will work closely with cross‑functional partners and customers to define safety strategies and sufficiency criteria for AI/ML‑based ADS features. You will engage deeply with stakeholders to understand their challenges and needs, collaborate on new AI/ML solutions, and evaluate the safety of models and cloud environments to support safety-critical applications. In this role, you will also provide safety guidance to a team of AI/ML developers and system engineers. Leveraging your experience with industry standards such as ISO/PAS 8800, you will champion GM’s AI safety case framework and help ensure the safe deployment of AI‑enabled ADS technologies.

What You’ll Do (Responsibilities)

• Lead the development of AI safety strategies for ADS and establish safety engineering guidance and sufficiency criteria.

• Actively engage with partners and seek input, provide technical expertise to inform leadership decision-making, and take ownership of technical projects

• Define GM’s strategy for AI safety standards, engage externally to influence evolving standards, and contribute to internal and external thought leadership that strengthens GM’s position in the autonomous vehicle ecosystem.

• Support regulatory rulemaking and policy responses related to AI safety‑critical systems.

• Establish an assurance plan and process to evaluate AI‑related safety case evidence and verify that sufficiency criteria are met.

• Provide AI expertise and safety guidance across Global Product Safety, Systems, and Certification activities.

• Identify and drive opportunities to improve the efficiency and quality of safety work through the application of AI methodologies.

• Mentor and develop team members, fostering a culture of technical excellence and continuous learning.

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience

• 10+ years of experience in AI/ML, engineering or a related field

• 5+ years in autonomous vehicles, robotics or related field

• Experience in the following:

• Machine Learning & AI:  Extensive experience in building large-scale models with significant focus on E2E validation. Experience using Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering

• AI Standards and Evolving Regulations: Understanding of ISO/PAS 8800, NIST AI Risk Management Framework, EU AI Act (2024-2027), other applicable industry standards and best practices for autonomous vehicles, aerospace and/or robotics.

• Programming & Frameworks: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL

• Cloud & Big Data Platforms: (PreferredMicrosoft Azure - Data Lake, Machine Learning, Databricks), Nice to Have(AWS - S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform)

• Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira

• Data Analysis & Visualization: Tableau, PowerBI, Pandas, NumPy

• Proven track record providing technical safety and validation leadership in AI/ML development and deployment

• Excellent communication and collaboration skills, with the ability to work effectively in a team environment

• Strong problem-solving mindset and a proactive attitude towards learning and self-improvement

What Will Give You A Competitive Edge (Preferred qualifications)

• Master’s or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience

• Relevant publication

• Expertise with Large Language Models solutions from business problem statement to cloud deployment that have provided significant incremental business value

• Experience with generative AI solutions that you have developed and deployed into a production environment that have provided significant incremental business value

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
       • The salary range for this role is $250,600 and $384,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
       • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
       • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

LI-KE2

This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager.
The selected candidate will be required to travel <25% for this role.
This job may be eligible for relocation benefits.
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role

We are seeking a Senior Data Engineer to join our Motorsports Data Engineering team, building next-generation data platforms that power high-performance racing programs across Formula 1, NASCAR, IndyCar, IMSA, and beyond.

This role is responsible for designing, building, and operating scalable, real-time and batch data pipelines that ingest high-frequency telemetry, simulation, wind tunnel, and trackside data into our enterprise data platform. You will work at the intersection of cloud architecture, streaming systems, and performance analytics — enabling engineers, strategists, and race teams to make faster, data-driven decisions.

As a senior member of the team, you will own critical components of our Kafka/Flink streaming architecture, Databricks lakehouse implementations, and infrastructure-as-code deployments. You will collaborate cross-functionally with race engineering, software development, operations, and external technical partners to ensure resilient, secure, and high-performance data delivery across environments.

This is a hands-on engineering role requiring deep technical expertise, architectural thinking, and a strong sense of ownership.

What You’ll Do

• Develop data pipelines using Python, Java, and SQL among other tools and technologies.
• Update existing software and/or develop new software solutions to address a specific need or solve a particular business problem.
• Contribute to development in accordance with appropriate methodologies and application of a repeatable, systematic, and quantifiable approach.
• Identify and remediate software issues related to code quality, security, patterns, frameworks, software usability, or end user related issues.
• Develop your skills by working closely with peers to ensure code alignment with design patterns and frameworks.
• Integrate with other applications and systems.
• Automate unit and end-to-end testing of software systems within their domain, focused on software quality and maintainability.
• Provide guidance and mentoring of fellow software developers.
• Performance tuning, usability assessment, performance improvement, documentation, and ensuring high technical standards are met.
• Proficiency in build/release automation solutions.

Your Skills & Abilities (Required Qualifications)

• Minimum 5 years of professional software development experience.
• Proficient in Python and or Java.
• Experience with event streaming/message broker technologies like Kafka, Event Hubs, or Confluent.
• Experience with AWS and/or Azure cloud infrastructure.
• Experience deploying, maintaining, supporting containerized applications using technologies like Docker/Kubernetes.
• Experience with SQL and NoSQL database technologies like Postgres, Mongo DB and Redis.
• Experience writing maintainable, testable, and reusable code.
• Experience with Agile development methodologies.
• Strong background in software development lifecycle.
• Experience with networking and client-server communication (REST, web sockets, gRPC, server-sent events).
• Delivering highly scalable, web-based systems, that can support high transaction volumes.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Bachelor's degree in computer science or similar discipline.
• Self-starter and quick learner who understands and can adapt to existing software applications.
• Previous IT experience within motorsports.
• Experience working with streaming telemetry or timing-based metrics.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role

We are hiring a Senior Site Reliability Engineer (SRE) to join the GM Motorsports Software Engineering Data Platform team. This team builds and operates the next-generation data infrastructure that powers analytics, simulation, and telemetry insights across GM’s racing programs including Formula 1, NASCAR, IndyCar, and IMSA.

As a foundational member of the reliability function within the Data Engineering organization, you will ensure the availability, performance, and resilience of high-throughput telemetry and analytics platforms that ingest, process, and deliver mission-critical motorsports data.

Our environment handles high-frequency streaming telemetry, simulation outputs, and engineering datasets that must be reliable, observable, and scalable. You will play a key role in designing systems where resilience, automation, and observability are built in from the start.

We are looking for engineers who are uncomfortable with manual toil and are driven to build platforms where scaling, recovery, and operational insight are inherent properties of the system architecture.

What You’ll Do

Platform Reliability

• Design and implement reliability practices across the motorsports data platform, including Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets for streaming and analytics workloads.

Streaming & Data Pipeline Resilience

• Ensure reliability and performance of high-throughput streaming and batch data pipelines supporting telemetry ingestion, analytics processing, and simulation workloads using technologies such as Kafka, Flink, and Databricks.

Observability & Incident Response

• Build and maintain comprehensive observability frameworks including metrics, logs, and tracing across the platform. Develop dashboards, alerts, and automated responses that detect system degradation before it impacts engineering workflows.

Infrastructure Automation

• Drive the automation of platform infrastructure using Infrastructure as Code (IaC) and platform engineering best practices to enable consistent, reproducible environments across development, testing, and production.

Operational Excellence

• Identify operational friction and eliminate manual processes by implementing self-healing infrastructure, automation frameworks, and developer self-service capabilities.

Data Platform Stability

• Own the reliability of data ingestion, transformation, and storage layers, ensuring stable and performant integration across distributed data systems.

Performance Optimization

• Continuously evaluate platform performance and scalability, ensuring the data platform can support high-frequency telemetry ingestion, real-time analytics, and large-scale historical analysis.

Mentorship & Technical Leadership

• Provide mentorship and peer review to engineers across the platform team, promoting strong operational discipline, resilient system design, and high-quality engineering practices.

Your Skills & Abilities (Required Qualifications)

• Proven experience in Site Reliability Engineering (SRE), DevOps, or Platform Engineering supporting large-scale distributed systems.
• Strong experience with Linux systems administration and cloud-native infrastructure.
• Experience operating high-throughput data platforms or streaming systems (Kafka, Flink, Spark, etc.).
• Hands-on experience with Infrastructure as Code tools such as Terraform or similar frameworks.
• Experience implementing observability stacks (Prometheus, Grafana, OpenTelemetry, Datadog, etc.).
• Strong debugging and troubleshooting skills across distributed systems.
• Ability to break down complex reliability challenges into clear, implementation-ready initiatives.
• A growth mindset and commitment to continuous learning in a fast-paced engineering environment.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Experience supporting data engineering platforms or analytics infrastructure.
• Experience with Kubernetes and container orchestration platforms.
• Familiarity with stream processing frameworks (Apache Flink, Spark Streaming, etc.).
• Experience with real-time telemetry, simulation, or high-frequency data environments.
• Experience implementing reliability practices across multi-cloud or hybrid cloud platforms.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Work Arrangement :

This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week or any other frequency dictated by the business.

Location:

Mt. View, California - Mountain View Technical Center

About the Team:

Our AI Research team, reporting directly to the Chief AI Officer, is pioneering how cutting-edge machine learning can transform the way vehicles are designed, manufactured, and experienced. We are building the next generation of intelligent systems—integrating multimodal foundation models, generative AI, robotics and predictive maintenance into real-world automotive innovation at global scale.

The Role:

As a Senior Machine Learning Engineer, you will lead the development of end-to-end AI/ML systems that solve high-stakes problems in robotics and manufacturing at scale. You will actively participate in the design, prototyping, and deployment of state-of-the-art AI models with direct application to vehicle design, manufacturing operations, robotics, and simulation of physical systems. Beyond technical execution, you will shape and implement GM’s AI research agenda, join a world-class team of scientists and engineers, and represent GM in the global AI community.

What You’ll Do:

• Design and implement novel machine learning architectures for complex industrial applications, including computer vision, robotic manipulation, predictive maintenance, and process optimization

• Develop end-to-end deep learning pipelines that handle multi-modal sensor data (vision, force/torque, proprioception, environmental sensors)

• Create foundation models and transfer learning frameworks that generalize across diverse industrial scenarios and equipment types

• Collaborate with cross functional teams including robotics engineers, SMEs and product teams to understand requirements and translate those to develop ML systems for production systems

• Develop data collection and annotation strategies to build high quality datasets for training and validating models in industrial settings

• Stay current with state-of-the-art methods in ML/AI and share knowledge through internal tech talks and presentations

Required Qualifications:

• PhD in relevant field or related discipline (STEM focused)

• Post PhD experience in AI/ML, demonstrating advanced AI/ML skill

• Expert level knowledge about modern deep learning architectures—Transformers, Diffusion Models, CNNs and model training techniques at scale

• Strong hands-on experience with at least one of the popular AI/ML frameworks (PyTorch, Tensorflow, Keras or JAX)

• Strong programming skills in Python and familiarity with one or more of systems languages (C++/Java)

• Demonstrated track record of publications in top AI/ML conferences or patents demonstrating novel contributions to the field

• Ability to decompose ambiguous problems into tractable research questions and follow rigorous experimental methodology including hypothesis formation, data collection, evaluation and statistical analysis

Preferred Qualifications:

• Experience with anomaly detection and predictive maintenance applications

• Experience with reinforcement learning for robotic control or process optimization

• Experience training large scale end-to-end multimodal deep learning models

• Demonstrated research impact in AI/ML technologies either through important publications in top- tier conferences or demonstrated contribution to industry leading systems.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $140,000- $195,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

What you’ll get from us (Benefits):

• GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

• This job may be eligible for relocation benefits.

GMAI-B

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role:

VSEE (Vehicle Software and Electronics Engineering) supports GM’s vision by providing the high quality hardware and software architectures, designs, and validation efforts to support our SDV - Software Defined Vehicle future.  We are engaged, inclusive, and innovative teams that adapt to challenges and work together to enable cutting edge products and services to get to our customers.

GM is seeking a Senior Manager – VSEE Quality to lead the quality strategy and execution for all VSEE organizations.  This role has a strong focus on quality ownership and cross functional relationships to strengthen Software and Services integration into GM.

The required candidate brings deep technical quality expertise and proven leadership experience, with a strong track record in leading Quality, SMT or launch activities across electrical, mechanical, software and wireless domains. This is a highly collaborative role that partners closely with Central Quality, Software, CCA, Cost Recovery, Quality Chain, Validation, Manufacturing, purchasing, suppliers and vehicle teams to ensure quality is the priority for the vehicle and customer.

What You'll Do:

• Strategic and Innovative Planning: Define the long-term vision and forecasting quality targets for hardware and software SMTs driving Director level visibility of forecasting and targets.
• Quality Representation for VSEE to GM Enterprise: Representing VSEE quality to be a clear single point owner for quality chain and quality, reliability and durability to product, program teams, central quality etc.
• Meeting Quality Targets: Proactivity communicating and delivering scorecard activity to meet SMT targets  (initiatives include part monitor, part restrictions, …).
• Deep insight into quality chain and supplier quality activities: explore manufacturing operations and new innovative ways to look our quality in advance to issues happening for new technology (i.e. proactively ensuring SDV to be better than what we did with VIP).
• Electrical Hardware Design and Validation: Lead the quality chain activities driving for higher quality execution (i.e. component tracker, in house design and development first time documentation) - Oversee the full development cycle from concept through production from a quality perspective.
• Team Leadership: Manage and mentor a team of quality engineers. Build a culture of excellence, technical depth, and continuous learning. Oversee program execution, resource planning, and budget management.

• Technology, Innovation and Analytics: Utilize current and future technologies and techniques (e.g. connected vehicle, OnStar, vehicle data crowd sourcing, big data, diagnostics, prognostics, AI …) to early predict quality performance to avoid/minimize quality issues and drive required sustainable change w/ the greatest business impact.

• Profitability:  Lead development of strategy and execution of VSEE HW and SW cost reduction/avoidance.

• Cross-Functional Collaboration: Work closely with Central Quality, CCA, product managers, SMT DREs engineers, purchasing, suppliers and manufacturing to develop clear plans to meet quality targets.

Your Skills & Abilities (Required Qualifications):

• Bachelor of Science in Engineering to include Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Mechanical Engineering, and Mathematics.
• 10+ years of hands-on experience in Quality and/or SMT experience, including full product lifecycle ownership and leadership of complex programs.
• Proficient in product execution, quality, reliability, durability and quality chain execution through experience including tool applications to automate data analysis
• Demonstrated leadership skills with the ability to influence cross-functional teams, communicate complex ideas clearly, and drive alignment across stakeholders.
• Comfortable working in a fast-paced, dynamic environment with shifting priorities and evolving technologies.

What Will Give You A Competitive Edge (Preferred Qualifications):

• Master’s degree in a related engineering or technical discipline
• 20+ years of hands-on experience in Quality and/or SMT experience, including full product lifecycle ownership and leadership of complex programs.
• Experience leading global teams or international programs
• Strong market awareness and ability to shape product and technology direction through external trends and insights.
• Leverages enterprise-level business acumen to drive organizational success
• Demonstrated ability to: achieve results through effective teamwork, lead numerous projects with different focal areas to successful completion, and manage and measure work through metrics, data, and results
• Experience managing a global team that is geographically dispersed
• Experience with field performance, including dealership experience, warranty claims process and customer service solutions
• Working knowledge of quality and/or embedded controls development tool set – (e.g. Jira/Jama, Git ecosystem, Component Tracker, etc).

LI-SB3

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role:

The Power and Signal Distribution Systems (PSDS) Lead Engineer is a key position responsible for designing and implementing the entire power and signal distribution system for vehicle programs. In this role the employee will oversee design rework, ICDe integration, and release of key prototype deliverables—including prototype rework documentation and 2D stick drawings—to enable higher software fidelity and support high-quality physical builds. This opportunity will require the employee to interface with colleagues around the world, as well as, to lead a team of engineers. The position entails working closely with vehicle program teams, other Product Development engineering groups such as interiors and body/white, chassis, validation, program team, purchasing, marketing, and manufacturing.

What You’ll Do:

• Provides program specific requirements for sourcing process
• Provides technical background in PSDS supplier technical reviews
• Creates initial harness parts list and complexity studies
• Maintains consistency of effort for the program - knows the PSDS Statement of Requirements, program, timing, issues, plan etc. and manages details when changes are required
• Manages efforts of the supplier within the engineering factory
• Identifies and schedules training needs accordingly with EGM approval
• Participates in interface tradeoffs and resolves integration issues
• Manages the cost, quality, mass, etc. for the power and signal distribution system including content and program changes
• Supports Pre-Production build events including both physical and virtual builds
• Ensures that the design, development, and electrical release of the Wiring System are integrated within the vehicle architecture with quality
• Conducts Product Development Team meetings to ensure deliverables and timing are met
• Leads benchmarking analysis to support innovation, tradeoff or cost /benefit analysis
• Leads Peer and Wire Harness Assessment reviews
• Provides assembly plant launch and remediation support
• Generates technical solutions for current, new and major programs with engineers
• Provides technical leadership for advanced technology development
• Performs complex design analysis
• Develops engineering designs (including subsystems)
• Implements engineering changes
• Specifies and balances system requirements
• Plans and implements test and/or development programs
• Releases parts and subsystems for production
• Communicates, coordinates, and consults with engineering departments and customers
• Stays abreast of new technology and competitive products
• Travels as required
• Interface between TS and DRE on design direction
• Directs and facilitates assigned team members to appropriate experts (TS, program electrical architect, program lead wiring engineer, etc.)
• Provides complexity reduction ideas as a direct interface with marketing
• Leads discussion with program teams on design and execution, i.e. Vapir, VCIT

Your Skills & Abilities (Required Qualifications):

• Bachelor of Science in Engineering, Computer Science, Math, Chemistry or Physics
• Minimum of 5 years of professional engineering experience
• Minimum of 2 years of engineering experience in Power Signal or Wire harness packaging
• Understanding of engineering theory and principles of operation of mechanical/electrical mechanisms
• Demonstrated technical and professional skills in job-related area required
• High level analytical ability where problems are unusual and complex
• Strong interpersonal skills with the ability to work independently and effectively with others
• Knowledge of engineering software and systems as it pertains to job-related area
• This position requires the ability to legally operate a motor vehicle on a regular basis and successfully complete a Motor Vehicle Report review.

What Will Give You A Competitive Edge (Preferred Qualifications):

• Masters Degree
• 5+ years of engineering experience in Power Signal or Wire harness packaging

LI-SB3

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

About Us:

The AV Infrastructure org provides developer environments, cloud infrastructure, and ML/AI GPU platforms for AV research and development teams to build, test, and run faster in GM.

The Role:

GM is looking for a Senior Capacity Engineer to join the AV Capacity and Performance Engineering team in the AV Infrastructure org to support our critical efforts in developing autonomous vehicles.  The mission of the AVCPE team is to provide input into large scale ML infrastructure strategy, advise on key decisions affecting our cloud budget, identify and execute optimization projects, and provide capacity planning and engineering expertise to support GM’s efforts in developing autonomous vehicles (AV).

What you’ll be doing (Responsibilities)

• Develop and refine technical models for capacity planning for GM’s AV infrastructure

• Design and build automated analytical tools for monitoring capacity and demand signals

• Partner with AI/ML engineering, infrastructure engineering, and cloud vendors to proactively identify and drive optimization projects to increase engineering and cost efficiencies

Your skills & abilities (Required Qualifications)

• 5+ years of relevant work experience

• Bachelor's Degree in Computer science or related field or relevant work experience

• Proficient in coding with Python (our preferred language)

• Proficient in BI platforms

• Experience with data modeling and working with SQL on large datasets such as BigQuery

• Good understanding of distributed systems including modern ML system architecture and design

What will give you a competitive edge (Preferred Qualifications)

• 8+ years of relevant work experience

• Proficient in coding with Pandas and NumPy

• Proficient in Looker and BigQuery

• Good communication skills

• Experience executing cross functional projects

• Experience with Git, Linux, and common Linux CLI tooling

• Experience with analyzing billing and usage data in GCP

• Experience with modern ML system architecture and design

• Experience with forecasting capacity demand

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role: is $144,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale..

The Role

We are seeking skilled and innovative Systems Engineers to lead the development and integration of future and rear brake-by-wire technologies. The role will focus on system-level design, requirements management, and cross-functional collaboration to deliver safe, high-performance braking solutions for future vehicle architectures.

What You’ll Do (Responsibilities)

• Lead the design and development of future and brake-by-wire systems, ensuring alignment with vehicle-level performance, regulatory, and safety requirements.
• Lead and support technical Future and Brake By-Wire focused System Integrity Team whose main goal is to develop requirements, define use cases and test cases, gain alignment of the prioritization, roll-out, and minimal viable product (MVP) definition for brake related systems aligned to program milestones
• Define and manage system requirements, interfaces, and functional specifications.
• Supports scope definition and directs stakeholders to enable diagnostic performance monitoring capability development
• Collaborate with software, hardware, controls and stakeholder teams to ensure seamless integration and validation throughout product development lifecycle.
• Support FMEA, functional safety (ISO 26262) and system safety activities related to braking features and systems .
• Understand and contribute to functional decomposition signal mapping and embedded controls development
• Drive system-level testing, issue resolution, and continuous improvement.
• Collaborate with safety, software, controls, design, validation, electrical and stakeholder teams to ensure requirements are met and risks are mitigated and achieve enterprise objectives and customer performance.
• Maintain documentation and ensure compliance with internal and external standards.
• Provide technical leadership and mentorship to junior engineers in systems engineering practices.
• Escalates and represents technical braking system issues in technical reviews and provide regular updates to leadership and stakeholders
• Generate & Implement development plans that involve modeling, Software in the loop (SIL) , Hardware in the Loop (HIL) and vehicles

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in Engineering, Math, Computer Science, IT, or Physics
• 5+ years of experience in automotive braking systems or chassis feature development.
• Strong understanding and demonstrated capability in vehicle dynamics, braking control systems, and system engineering principles.
• Strong understanding of FMEA methodology and requirements management tools
• Experience with embedded controls
• Experience with requirements management and simulation tools (e.g., DNG, MATLAB, carsim, INCA, CAN,)
• Excellent communication, leadership, organizational, and problem-solving skills

What Will Give You A Competitive Edge (Preferred qualifications)

• Master’s degree in Mechanical, Electrical, or Systems Engineering

• Experience with ISO 26262 and functional safety practices

• Familiarity with model-based development and simulation tools.

• Prior experience in braking systems and embedded controls
• Knowledge of ADAS or integrated braking systems
• High degree of Managerial Courage and Comfort with Ambiguity

Why Join Us?

• Be at the forefront of innovation in braking and chassis technologies.
• Work in a collaborative environment with opportunities for technical and leadership growth.
• Make a direct impact on vehicle safety and performance.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
The selected candidate will be required to travel <25% for this role.
This job may be eligible for relocation benefits.
This position requires the ability to legally operate a motor vehicle on a regular basis and successfully complete a Motor Vehicle Report review.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The role

As a Senior Strategist in MAS, you will lead strategic initiatives that drive media performance insights across GM’s marketing ecosystem. You will partner with Marketing Strategy & Creative Insights (MSI), Media, CRM, and Brand teams to develop and execute measurement frameworks, synthesize cross-channel analytics, and deliver actionable insights that inform campaign strategy and investment decisions.

This role requires a blend of analytical rigor, strategic thinking, and cross-functional collaboration to elevate GM’s media effectiveness and storytelling capabilities.

What You'll Do

• Media Performance Strategy: Independently mine and analyze paid media performance to uncover trends, conversion drivers, and optimization opportunities across channels including Display, Search, Social, and Video.
• Measurement Frameworks: Build and evolve methodologies for media measurement, including benchmarks, high-value behaviors, media quality, conversion, and budget / investment modeling (e.g., CIB frameworks). Ensure data integrity, tagging standards, and governance are upheld.
• Cross-Team Collaboration: Partner with Marketing Strategy & Creative Insights, Research, Data Science, and Technology to integrate media insights into broader campaign narratives and scorecard ecosystems.
• Campaign Reporting: Lead monthly and ad hoc reporting on media KPIs, funnel performance, and site engagement. Translate data into strategic recommendations for brand and dealer teams.
• Creative & Equity Insights: Embed creative taxonomy and brand power metrics into MMM storytelling. Support creative inclusion in divisional and cross-channel analysis.
• Strategic Storytelling: Deliver compelling presentations and dashboards that align with business objectives and influence senior stakeholders.
• Leadership & Mentorship: Guide junior strategists and analysts, fostering best practices in media measurement and strategic planning.

Your Skills & Abilities (Required Qualifications)

• Experience: 6+ years in media strategy, marketing analytics, MMM, attribution modeling, or performance measurement.
• Education: Bachelor’s degree in Marketing, Business Analytics, Communications, or a related field; Master’s degree preferred.

• Analytical & Technical Skills:

• Deep expertise in digital analytics platforms (e.g., Adobe Analytics, Google Analytics) and familiarity with ad tech and/or MarTech ecosystems.

• Proficiency in SQL for querying and managing large datasets.
• Experience creating and managing dashboards in Power BI (or similar BI tools) to visualize media and performance insights.

• Communication & Storytelling:

• Exceptional ability to communicate complex data insights in a clear, concise, and compelling manner for executive and non-technical audiences.

• Able to translate highly technical concepts (e.g., MMM, attribution, clean rooms) into actionable recommendations for stakeholders.

• Ways of Working:

• Exceptional organizational skills with the ability to prioritize and multi-task across multiple concurrent projects and deadlines in a fast-paced environment.

• Curious and creative mindset with a strong desire to explore new approaches to media measurement, experimentation, and analytics.
• Experience working with media and creative agencies on planning, budgeting, and campaign optimization.

What Will Give You A Competitive Edge (Preferred Qualifications)

• Experience with creative measurement, brand equity analysis, and demand space activation.
• Experience with media strategy in the auto industry and/or large CPGs
• Knowledge of Python can be beneficial for data analysis and automation tasks.
• Experience with Azure and Databricks can enhance data processing and analysis capabilities.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
The selected candidate will be required to travel <25% for this role.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Company: General Motors

The Safety Assurance for Effective Autonomous Driving Software (SAFEADS) department is part of GM’s Global Product Safety, System, and Certification (GPSSC) organization. Our mission is to help GM deliver trusted automated driving products.  As the central authority for automated driving system (ADS) safety, SAFE-ADS brings together experts from across the company to develop and maintain a comprehensive safety case including safety performance indicators for GM’s automated driving technologies.

GM’s vision is zero crashes, zero emissions, and zero congestion—and autonomous vehicle safety is essential to achieving that vision

The Role

At General Motors, we are shaping the future of mobility through cutting-edge autonomous vehicle technology. Safety is at the core of everything we do – and as a member of the AV Operations and Human Factors Safety Strategy team, you will play a pivotal role in that commitment.

This position offers the opportunity to support the safety strategy and execution across the entire lifecycle of AV operations, from development and supervised driving to commercial launch and post-launch continuous improvement. You will provide critical safety analyses and requirements, lead issue resolution, conduct operations process audits, and collaborate across engineering, product, and operations teams to uphold the highest standards of safety.

This is a rare chance to influence the future of autonomy at scale and support the team in setting industry-leading benchmarks for operational safety.

What You’ll Do

• Conduct operational safety analysis for manual, supervised, and autonomous driving modes
• Define operational safety requirements and collaborate with key stakeholders such as Operations, Software, Hardware, and Legal teams to ensure proper implementation and validation
• Lead or support studies to corroborate safety analysis conclusions with empirical data, document findings, and provide clear conclusions and recommendations
• Lead operations safety issue management to address emerging issues through thorough investigation and resolution
• Ensure evidence for operations safety relevant safety case claims is documented and complete
• Perform regular audits of autonomous vehicle operations processes, such as driver monitoring system alert response and incident response
• Identify and document audit findings, including procedural non-conformances, safety concerns, or areas for continuous improvement, and provide timely feedback to auditees that is clear, concise, and actionable

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in Engineering, Computer Science, or a related technical field
• 5+ years of experience in systems safety, operational safety, field safety or related technical roles
• 3+ years of experience in automated technology development, testing, or deployment
• Demonstrated experience with safety hazard analysis and safety risk management
• Experience with problem resolution/issue management, including root cause analysis and corrective and preventative action (CAPA)
• Ability to proactively identify gaps, drive continuous improvement, and initiate the necessary actions needed to achieve high-quality work products
• Strong understanding of vehicle systems and automotive technology
• Exceptional written and verbal communication skills, using simple, objective, and concise language

What Will Give You A Competitive Edge (Preferred Qualifications)

• Experience in automotive or transportation safety
• Familiarity with operational processes, especially in a scaled, complex environment
• Ability to anticipate emerging safety challenges in complex systems and proactively design solutions
• Effective in cross-functional collaboration to accomplish objectives, while demonstrating awareness and sensitivity to the needs and priorities of others

At GM, we don’t just build vehicles – we design safer, smarter ways for people to move. If you are driven by the challenge of supporting safety strategy at the forefront of autonomy, we want to hear from you.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
The selected candidate will be required to travel <25% for this role.
This job may be eligible for relocation benefits.
This position requires the ability to legally operate a motor vehicle on a regular basis and successfully complete a Motor Vehicle Report review.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Ideal Candidate:

New Electronic Control Unit (ECU) designs used in automotive applications continue to be an area of growth in the global automotive market.  Our team is looking for a creative and highly energetic ECU Hardware Analysis Engineer who can perform mechanical DFMEA analysis of ECU mechanical elements and assist in developing our internal analysis approach and procedures for inhouse electronics designed ECUs.  This work will be in support of the overall Safety and Reliability Case development for ECUs used within the Software Defined Vehicle (SDV) electrical architecture technologies that are critical in achieving GM’s Vision of Zero Crashes, Zero Emissions, and Zero Congestion.

Mechanical DFMEA analysis plays a critical role in ensuring the robustness, durability, and environmental resilience of ECUs used in automotive applications. This activity focuses on identifying mechanical risks early in development and driving design improvements that protect ECU performance throughout its lifecycle.  The ideal candidate will have previous experience with mechanical DFMEA at the ECU level, drive innovation, facilitate effective communication, and inspire enthusiasm within the team. We expect you to demonstrate leadership qualities, actively champion change, possess keen business intuition, and strategically address systemic challenges. You should also exhibit high learning agility, the ability to navigate ambiguity and complexity, and a commitment to pushing the boundaries of innovation while challenging the status quo.

The Role:

Safety is truly in your hands, as your passion for safe mobility will be key in ensuring the safe and reliable operation of our inhouse developed ECUs for our latest vehicle architecture.  In this role you are expected to have a high level of technical proficiency to perform various ECU and sub-component mechanical analysis tasks that supports various SDV ECUs, and provide mentoring to more junior engineers within the team.  This role will function in the capacity of performing the required mechanical analysis within an ECU design responsible organization where work products will be delivered to the Mechanical Design and Quality Teams within our organization to meet mechanical design best practices and reliability expectations of various ECUs.  This role will interface across various GM engineering disciplines as well as external engineering entities to obtain needed information for the required analysis work.

What You’ll Do:

• Lead mechanical DFMEA activities for ECU mechanical elements—including housing/enclosure, seals/O‑rings, connectors, PCB mechanical interfaces, mounting features, and thermal management components—following AIAG–VDA DFMEA methodology.
• Analyze mechanical functions, requirements, and interfaces to identify potential failure modes related to vibration, thermal cycling, ingress protection, mechanical fatigue, and environmental exposure.
• Facilitate cross‑functional DFMEA reviews with design, materials, manufacturing, quality, and validation teams to ensure accurate risk assessment and alignment with automotive safety and reliability requirements.
• Develop and maintain DFMEA documentation, ensuring compliance with AIAG–VDA standards and seamless integration with APQP (Advanced Product Quality Planning) and design release processes.
• Recommend and drive design improvements, working with mechanical and electrical design teams to mitigate risks through enhanced sealing, structural reinforcement, tolerance optimization, fastener strategy, and connector/mechanical interface robustness.
• Support validation planning by linking DFMEA findings to DVP&R (Design Verification Plan and Report) activities such as vibration, shock, sealing/IP testing, thermal cycling, and environmental durability assessments.
• Contribute to lessons learned and continuous improvement, applying industry standards and prior field data to strengthen future ECU mechanical designs and reduce warranty risk.
• Integrate Mechanical DFMEA with Electrical Component/Circuit level DFMEA(s) in GM’s FMEA Integration Tool and ensure linkages to higher level System and Sub-Systems DFMEAs are in-place for traceability measures.
• Perform read-across of Mechanical DFMEA design lessons learned, best practices and failure mitigation measures across all in-house designed ECUs.
• Develop new and/or revise existing mechanical requirements for ECU CTRS (Component Technical Requirements Specification) needed for improved product designs.
• Actively lead, participate and contribute in ECU HW Change Control and Mechanical Design Peer Review forums.
• Domestic and/or international travel as required (minimal, 10% max).

Your Skills & Abilities (Required Qualifications):

• 5+ years engineering experience in product development with ECUs or ECU mechanical DFMEA analysis.
• Bachelor of Science degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Physics or another related Engineering degree.
• Previous mechanical design, analysis, development and/or validation experience with automotive ECUs
• Demonstrated leadership and project management of complex technical projects.
• Ability to provide technical leadership and mentorship to diverse global teams.

What Will Give You A Competitive Edge (Preferred Qualifications):

• 8+ years engineering experience in product development with ECUs or ECU mechanical DFMEA analysis.
• Master of Science in Engineering or related field
• Familiarity with mechanical design and reliability standards, analysis tools and techniques:
• Mechanical CAD Design & Mark-up:  Teamcenter, NX CAD and Teamcenter Visual Mockup
• Mechanical PCB Design & Solderability:  IPC-6012DA, IPC-A-610 Class 3, IPC-2221A, IPC-4101C, J-STD-001
• Environmental & Mechanical Testing:  GMW-3172, ISO-16750, UL-94/UL-796, AEC-Q100/Q200
• Other:  ISO-26262 in relation to mechanical safety mechanisms that support Functional Safety, electronics sub-component mechanical design integration within ECUs as it relates to mechanical reliability performance and failure mechanisms.
• DFMEA Analysis/Documentation:  Plato-e1ns or other analysis/documentation tool used for Mechanical DFMEA
• Machine learning, simulation methods and data acquisition.

LI-JK3

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Staff Technical Program Manager, Embodied AI

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard – from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Role

You will serve as a Staff Technical Program Manager responsible for end-to-end delivery of Embodied AI (EAI) model development programs – from research integration through production deployment on next-generation autonomy platforms.

In this role, you operate at the intersection of AI research, engineering execution, and product delivery. You translate complex, ML-heavy development efforts into disciplined, predictable execution that results in production-quality systems used in real vehicles, at scale.

Why This Role Matters

This role defines how GM builds and ships AI.

You will own:

• The execution systems that power Embodied AI development
• The cross‑functional delivery of major AI model initiatives

Your impact is direct and measurable: you enable GM’s ability to deliver world‑class autonomy and AI‑driven vehicle intelligence.

As a Staff TPM, you will drive execution for highly visible, technically complex programs with significant cross‑functional and executive exposure. You influence AI strategy, define execution rhythms across teams, and ensure Embodied AI systems meet performance, safety, quality, and readiness standards for L2+ and L4 autonomy.

Examples of initiatives you will own or lead within the Embodied AI domain include:

• Driving execution of model training, evaluation, and performance improvement initiatives for AV and ADAS features by partnering across ML, data, evaluation, and platform teams to deliver measurable gains against product and safety targets.
• Leading end‑to‑end programs for fallback capabilities, ensuring robust Primary, Secondary, and Tertiary detection and behavioral features that support safe operation across both nominal and off‑nominal conditions.
• Owning delivery of ML platforms and training systems that improve developer velocity across the full model lifecycle – from data ingestion and training to evaluation, deployment, and iteration.
• Coordinating localization, sensor alignment, and calibration programs critical to high‑quality sensor data ingestion and downstream ML performance, working closely with perception, mapping, data, and vehicle platform teams.
• You will also own the operating mechanisms, milestones, and execution frameworks that accelerate Embodied AI development while ensuring models land with the quality, reliability, and efficiency required to scale across multiple platforms and product lines.

What You’ll Do

Own End-to-End Model Development Execution

• Own execution across the full Embodied AI model lifecycle, from research transition and model training through evaluation, system integration, validation, and production release.
• Drive milestone readiness across model training cycles, performance gates, SC3 program milestones, and feature maturity reviews.
• Partner closely with AI/ML, Evaluation, and Product leads to define clear success criteria, performance metrics, and evaluation frameworks that align technical progress to product outcomes.
• Deliver clear, concise, and executive‑ready communication on program status, risks, dependencies, and decisions to senior GM leadership.

Build and Scale Execution Processes for EAI

• Design, implement, and operate execution mechanisms that enable faster, more predictable Embodied AI delivery, including:

• Planning and execution cadences

• KPI‑driven performance reporting and dashboards
• Model training, evaluation, and release workflows
• Issue escalation, dependency management, and risk mitigation processes
• Standardize how Embodied AI initiatives are defined, planned, measured, and delivered across teams and programs.
• Ensure engineering teams have the data, tooling, clarity, and operational rigor needed to hit performance targets with speed and consistency, without compromising quality or safety.

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in Computer Science, Engineering, Robotics, or a related technical field, or equivalent practical experience.
• 8+ years of experience in technical program management, engineering program leadership, or closely related roles within software‑ or ML‑intensive environments.
• Proven track record of leading large‑scale AI/ML, autonomy, or complex software system programs from early concept through production deployment.
• Strong working knowledge of modern model development workflows, including data ingestion and curation, model training pipelines, evaluation and metrics, deployment, and iteration.
• Demonstrated ability to operate effectively in highly cross‑functional environments, influencing senior engineering, product, and research leaders to drive execution, resolve tradeoffs, and align priorities.
• Exceptional communication skills, with the ability to translate complex technical execution into clear, executive‑level narratives around progress, risks, and decisions.

What will give you a competitive edge (Preferred Qualifications)

• MS or PhD in Engineering, Computer Science, Robotics, Machine Learning, Applied Mathematics, or a related field.
• Experience working on autonomous driving, ADAS, robotics, or other safety‑critical systems.
• Familiarity with large‑scale ML infrastructure, including distributed training, compute optimization, data scaling, or evaluation tooling.
• Experience defining operating rhythms, KPIs, and execution frameworks for ML‑heavy or research‑driven engineering organizations.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.

• The salary range for this role is $159,400 - $245,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

LI-LL2

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role

General Motors' Marketing Applied Sciences (MAS) team is seeking an experienced, strategic, and data-fluent leader to serve as Group Strategy Manager, Audience Activation. This role sits at the heart of GM's marketing transformation, leading a team of audience strategists responsible for developing, governing, and activating data-driven audience strategies across GM's brand portfolio.

Success in this role requires a unique blend of audience strategy expertise across Media, site, and CRM, technical acumen, cross-functional leadership, and the ability to translate complex data into compelling marketing decisions. The ideal candidate brings deep, hands-on media expertise, including a strong command of programmatic ecosystems, paid media activation, media measurement frameworks, and addressable audience delivery. This is an opportunity to shape how GM uses first- and third-party data to reach the right customers at the right moment.

What You'll Do

• Lead and develop a team of audience strategists, providing coaching, prioritization, and career development across cross-brand activation work

• Collaborate closely with the Media team on the end-to-end audience strategy process, ensuring accurate and efficient audience builds aligned to Media strategy and successful activation, including but not limited to audience sizing, reach/frequency planning, and segment-level performance expectations

• Serve as the primary MAS point of contact for audience strategy across brand and agency partners, working closely with the Media team to align on campaign needs, taxonomy, audience development timelines, and channel-specific delivery requirements (programmatic, social, display, etc.)

• Serve as an experienced interpreter of marketing and media requests, translating ambiguous campaign briefs and brand objectives into clear, defined audience strategies

• Oversee the development and activation of Pronghorn-powered audiences across media, site, and CRM channels, ensuring alignment with marketing objectives and model recommendations

• Partner closely with MAS Data Scientists and the Media team to translate modeling outputs into actionable, campaign-ready audience segments. Advise on match rate optimization, addressability, and scaling trade-offs across activation platforms.

• Manage audience workflows across platforms including Databricks, Adobe Real-Time CDP, AEP, LiveRamp, and other onboarding and activation tools

• Support the product development team in building, testing, and deploying new media capabilities and platforms.  Translate technical capabilities into actionable pilot opportunities. Work with the T&L team to lead development of testing strategies and campaigns to deliver new marketing opportunities and channels

• Demonstrate strong leadership and decision-making in establishing audience best practices, including standards for audience building, scoring, and sizing, to ensure consistent, scalable segmentation logic across brands and channels

• Establish and maintain governance standards for audience documentation, segmentation logic, and operational data flows (Confluence, SharePoint, etc.)

• Drive audience insights and persona analysis by synthesizing behavioral, transactional, and demographic data to inform targeting strategy, connecting audience insights directly to media performance outcomes

• Champion data quality and privacy compliance across audience workflows, ensuring audiences are built and activated in alignment with GM's data governance and privacy requirements

• Represent the Audience Activation capability in cross-functional planning sessions, brand standups, and MAS leadership forums; serve as the internal SME on how media and audience strategy intersect to drive campaign effectiveness.

• Provide transparency and accountability on timelines, prioritization, and progress

• Identify opportunities to incorporate AI and agentic tools into audience operations to improve speed, quality, and scale

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree in Marketing, Business, Data Science, Computer Science, or a related field

• 8+ years of experience in a media, audience, or marketing analytics role, spanning strategy, planning, or activation, within an enterprise or agency environment

• 4+ years of direct people leadership experience, with a track record of developing high-performing, cross-functional teams

• Deep expertise in audience segmentation, customer data platforms (CDP), and data onboarding platforms (e.g., Adobe AEP, LiveRamp, or similar)

• Comprehensive understanding of the programmatic media ecosystem, including DSPs, SSPs, DMPs, identity graphs, and the mechanics of real-time bidding

• Experience in scaled media audience planning and execution

• Strong understanding of cross-channel marketing activation including media (programmatic display, paid social, CTV/OTT, search), CRM, site, and digital channels

• Demonstrated experience navigating identity resolution challenges, including knowledge of first-party data strategies, universal IDs, and privacy-preserving measurement

• Experience translating audiences into creative implications

• Ability to collaborate effectively with Data Scientists, translating technical model outputs into practical activation strategies

• Excellent stakeholder management skills, with experience navigating matrixed organizations and aligning brand, agency, and analytics teams

• Strong analytical and storytelling capabilities, able to translate complex data into powerful stories and actionable recommendations, synthesizing audience, media, and marketing performance data into clear, executive-ready narratives that drive confident decision-making and inspire action across brand, agency, and leadership stakeholders

What Will Give You a Competitive Edge (Preferred Qualifications)

• Experience working with identity resolution platforms

• Hands-on platform experience with major DSPs (TTD, DV360) and paid social platforms (Meta Ads Manager, Pinterest Ads) in an audience strategy or media planning capacity

• Experience managing 1st party and device-based identity signals

• Hands-on experience with Databricks, SQL, or PySpark for audience analysis and data enablement

• Familiarity with AI-powered audience tools or agentic marketing workflows

• Experience with data governance practices and privacy compliance in marketing contexts

• Background working within an in-house marketing science or advanced analytics function

• Master's degree in a quantitative or marketing-related field

The salary range for this role is ($134,700 - $207,600). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager.
The selected candidate will be required to travel <25% for this role.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Role

As an Applied ML Validation Manager on the Software Validation team within the AV organization, you will lead a team focused on building and operating behavior critics and human benchmarking capabilities for ML-driven autonomy systems. Your team will turn subjective human expectations about safe, comfortable, and intuitive driving into rigorous, scalable evaluation frameworks that directly inform model development and release decisions.

You will partner closely with autonomy, simulation, safety, and product teams to define how behavior is judged against human drivers and integrate behavior critic signals into validation pipelines, continuous release, and long-term performance monitoring.

About the Organization

The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes.

The Software Validation team focuses on unlocking software launches and continuous release decisions via simulation-led verification and validation strategies, prototypes, and protocols. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicle testing.

Key Responsibilities

• Lead and grow an Applied ML validation team focused on behavior evaluation and human benchmarking for autonomy ML systems.
• Define the strategy and roadmap for evaluating ML behavior against human-like driving expectations across simulation, replay, and on-road environments.
• Design, implement, and operate behavior critic frameworks that assess model actions and trajectories, turning qualitative human feedback into structured labels, metrics, and scorecards.
• Develop and scale human benchmarking programs, including rater guidelines, calibration, and quality controls, to compare ML system performance against expert and typical human drivers.
• Partner closely with autonomy, simulation, safety, and product teams to integrate behavior critic and human benchmarking outputs into training, offline validation, release gating, and reporting.

Basic Qualifications

• 8+ years of experience and MS/PhD in Computer Science, Machine Learning, Robotics, Software Engineering, Data Science, or a related field.
• 2+ years of people management experience leading engineering, validation, or applied ML teams.
• Strong programming and data skills in Python and common analysis/ML tooling (e.g., PyTorch).
• Demonstrated experience designing and operating evaluation/validation pipelines for complex ML systems.
• Proven ability to define, implement, and track metrics that capture system quality, reliability, safety, or user experience.

Preferred Qualifications

• Experience with autonomous driving, robotics, or other safety-critical domains, especially in validation, safety, or systems engineering roles.
• Demonstrated background with simulation-based validation, including VLM critics, human benchmarking, and scalable evaluation for ML or autonomy systems.
• Hands-on experience with agentic workflows used to accelerate analyses, automate documentation, or orchestrate complex data and metric pipelines.
• Track record of building or scaling technical teams and tooling in fast-evolving domains, especially focused on evaluation, automation, and ML observability.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
·     The salary range for this role: is $218,000 to $335,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
·     Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
·     Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Role

As a Staff ML Validation Applied Scientist on the Software Validation team within the Autonomous Vehicle (AV) organization, you will lead applied machine learning research focused on improving verification and validation of ML components and autonomous driving behavior at scale.

You will push the frontier of simulation-led ML validation, creating metrics, tools, and agentic workflows that make it dramatically faster, more automated, and more robust to evaluate autonomy systems across large fleets, diverse scenarios, and continuous release cycles. You will transform advanced ML research into working prototypes and production-grade validation services, including AI validation critics that automatically review model behavior, logs, and simulation traces to surface issues, regressions, and coverage gaps.

About the Organization

The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes.

The Software Validation team focuses on unlocking software launches and continuous release decisions via simulation-led verification and validation strategies, prototypes, and protocols. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicle testing.

What You’ll Do

As a Staff ML Validation Research Engineer, you will:

• Lead ML-centric validation strategy for deep learning components across perception, prediction, and planning in AV, defining evaluation methodologies with cross-functional partners.

• Build AI validation critics and agentic acceleration workflows using LLM- and model-based agents plus orchestration to automate scenario review, anomaly detection, and end-to-end validation flows.

• Prototype ML research into scalable tools by transforming ML research into performant tools integrated into CI/CD and large-scale pipelines, owning key behavior and ML validation services and data pipelines.

• Drive simulation-based ML evaluation at scale by evaluating deep learning modules in realistic sensor and traffic simulation and expanding behavioral and scenario coverage tightly linked to ML models.

• Provide cross-functional collaboration and leadership across Simulation, Safety, Systems Engineering, Autonomy, and tools teams through reviews, roadmapping, standards, and mentorship focused on high-quality, automation-first software.

Your Skills & Abilities

• 8+ years of experience and MS/PhD in Computer Science, Machine Learning, Robotics, Software Engineering, Data Science, or a related field.

• Strong proficiency in Python and at least one systems language (e.g., C++), with experience building production systems over large datasets.

• Deep understanding of and experience evaluating modern ML for robotic systems.

• Hands-on experience using AI agents, LLM-based tools, or workflow orchestration to automate parts of the development, validation, or operations lifecycle.

• Demonstrated ability to design and implement behavioral and ML metrics and associated tooling for validation and regression detection of complex ML systems

• Strong analytical skills and systems thinking; able to reason about complex AV behavior and ML model interactions and turn insights into code and tools.

• Effective communicator who can work across teams and provide technical leadership and mentorship to other engineers and researchers.

What Will Give You a Competitive Edge

• Background in autonomous vehicles, vehicle development, or ADAS.

• Demonstrated impact from introducing automation and AI-assisted tooling (e.g., AI agents, AI validation critics, smart monitoring) that improved scale, reliability, or engineering velocity in ML validation workflows.

• Experience building verification and validation tools or infrastructure for safety-critical ML or control systems.

• Experience working with simulation environments and large scenario or telemetry datasets for ML evaluation and behavior validation.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• ·     The salary range for this role: is $218,800 to $335,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
  ·     Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
  ·     Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role

GM's Motorsports Software team delivers the competitive edge that drives our drivers to the podium across NASCAR, IndyCar, IMSA, and Formula 1. We are the "pit crew" for the engineering teams, ensuring the innovative cloud-based infrastructure, software development platforms, and data pipelines they rely on are robust, secure, and highly available.

We are seeking a highly skilled Senior Azure Systems Engineer to design, implement, and maintain our cloud-based infrastructure. This role will ensure the reliability, security, and optimal performance of our Azure environments, supporting critical business operations.

In this role, you will serve as a force multiplier for our analysts, architects, developers, and data engineers. You will navigate the complex intersection of multi-cloud infrastructure (Azure/AWS), identity management, and developer tooling to eliminate friction and enable high-velocity delivery. You won't just maintain servers; you will engineer the platforms and solve the unique tactical challenges that allow GM to dominate on the track.

What You'll Do

• Administer and troubleshoot the core developer ecosystem, including code repositories, CI/CD pipelines, project management suites, and specialized engineering license servers.
• Manage complex user lifecycles for both internal GM employees and external race team partners, ensuring correct provisioning across directory services, cloud RBAC, and SaaS platforms.
• Serve as the primary escalation point for "stop-ship" blockers—resolving network peering issues, authentication failures, quota limits, and specialized compute connectivity.
• Assist in managing the cloud checkbook; tracking consumption against purchase orders, resolving vendor billing discrepancies, and optimizing resource allocation across Azure and AWS.
• Deploy and maintain cloud resources using Infrastructure-as-Code (IaC), managing everything from Kubernetes clusters and databases to bespoke VM-based workloads.
• Interface with corporate IT and external software vendors to resolve support tickets and procure necessary software/licenses.

Your Skills & Abilities (Required Qualifications)

• Advanced proficiency with Terraform for managing cloud resources. Experience with modules, state management, and CI/CD integration for infrastructure is essential.
• Deep implementation knowledge of Entra ID (Azure AD), including B2B guest flows, conditional access, App Registrations, and debugging SAML/OIDC claims.
• Expert-level proficiency in PowerShell and *nix shell scripting. You must be comfortable writing robust tools to automate user provisioning, data migration, and API interactions.
• Practical experience designing and securing complex network topologies, including Hub-and-Spoke architectures, routing control, Private Link implementations, and VPN configurations for hybrid connectivity.
• Experience managing organization-level settings in GitHub (Teams, Repos, Actions) or similar DevOps platforms.
• Operational experience with Azure Kubernetes Service (AKS) beyond simple deployment—managing upgrades, cluster scaling, ingress strategies, and complex networking.
• Ability to troubleshoot OS-level issues (services, firewalls, mounting storage) in both Linux and Windows environments.
• Strong communication and collaboration skills.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Relevant Microsoft Azure certifications (e.g., Azure Administrator Associate, Azure Solutions Architect Expert)
• Passion for Motorsports and working in a high-pace environment.
• Proven ability to analyze cloud spend, implement budget controls, and execute cost-saving strategies (Rightsizing, Reservations, Savings Plans).
• Experience hosting and debugging network license servers for specialized engineering applications.
• Practical experience supporting the full ML lifecycle—from configuring GPU compute resources and training environments to deploying inference endpoints and managing model registries.
• Ability to administer and troubleshoot the Microsoft 365 environment (SharePoint permissions, OneDrive sync, Teams policies) as it intersects with technical workflows.
• Familiarity with AWS core services (EC2, S3, IAM) to support hybrid workflows.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

*The Role:*

We’re General Motors (GM), a company driving the future of mobility with advanced self-driving and electric vehicle technologies.

We’re building the world’s most innovative autonomous vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many. GM employees have the opportunity to grow and develop while learning from leaders at the fore‐front of their fields. With a culture of internal mobility, there’s an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.

If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving vehicles, join us.

*What you’ll do*

• Design & Implementation: Utilize the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud.

• Project Ownership: Take ownership of technical projects from inception to completion, contribute to the product roadmap, and make informed decisions on major technical trade-offs.

• Collaboration: Engage effectively in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams while proactively managing conflicts.

• Mentorship & Recruitment: Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing.

*Your Skills & Abilities (Required Qualifications)*

• 5+ years of experience, with a strong background in large-scale distributed systems preferred.

• 1+ years of experience leading and driving large-scale initiatives.

• Proficiency in building scalable infrastructure on the cloud using Python, C++, Golang, or similar languages.

• Experience working with relational and NoSQL databases.

• Demonstrated ability to develop and maintain systems at scale.

• A Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience.

• A passion for autonomous vehicle technology and its transformative potential.

• Strong attention to detail and a commitment to accuracy.
• A proven track record of efficiently solving complex problems.
• A startup mentality with a willingness to embrace uncertainty and wear multiple hats.

*What Will Give You a Competitive Edge (Preferred Qualifications)*

• Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services.

• Experience with open-source orchestration platforms such as Kubeflow, Flyte, Airflow, etc.

• Experience with Kubernetes.

• Understanding of Machine Learning (ML) models/pipelines.
• Python/C++/Golang proficiency.
• Relevant publications.

*Compensation:* The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is $155,420 to $395,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

*Benefits:*

• GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

*Relocation*: This job may be eligible for relocation benefits.

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role:

General Motors is seeking a highly experienced Linux System Engineer to join our Software and Services organization. This role is critical to supporting our core development teams and virtual desktop infrastructure (VDI) environments. The ideal candidate will have deep expertise in Ubuntu Linux systems, virtualization technologies, and enterprise-scale desktop environments.

You will be responsible for designing, implementing, and maintaining Ubuntu-based systems across both physical and virtual platforms, ensuring high availability, performance, and security for our engineering teams. Additionally, System Engineers are responsible for partitioning and allocating product, feature and system functionality to implementation teams. Safety, reliability, and regulatory compliance are factors considered in system design with the goal of optimizing performance, design, testability, and deployability. System engineers identify use cases, define functional technical requirements, enable robust implementation designs, and ensure built-in quality with test definition and traceability.

What You’ll Do:

• Architect, deploy, and maintain Ubuntu Linux systems for development and production environments.
• Design and manage virtual desktop infrastructure (VDI) solutions using technologies such as Omnissa Horizon, Citrix, or similar platforms.
• Collaborate with software engineering teams to optimize system performance and integration.
• Automate system provisioning and configuration using tools like Ansible, Terraform, or similar.
• Monitor system health, performance, and security; implement proactive measures and incident response.
• Develop and maintain documentation for system architecture, processes, and procedures.
• Provide Tier 3 support and mentorship to junior engineers and support staff.
• Participate in strategic planning for infrastructure growth and modernization.

Your Skills and Abilities (Required Qualifications):

• Minimum 5 years of experience in Linux system engineering, with a strong focus on Ubuntu.
• Proven experience with virtual desktop environments (VDI), preferably in large-scale enterprise settings.
• Proficiency in scripting languages (e.g., Bash, Python) and automation tools.
• Strong understanding of networking, storage, and security principles in Linux environments.
• Experience with containerization (Docker, Kubernetes) is a plus.
• Excellent problem-solving, communication, and documentation skills.
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).

What Can Give You a Competitive Advantage (Preferred Qualifications):

• Experience in automotive or embedded software development environments.
• Familiarity with cloud platforms (AWS, Azure, GCP) and hybrid infrastructure.
• Certifications such as LPIC, RHCE, or Omnissa VCP are a plus.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is $129,400 to $228,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

About Us:

The AV Infrastructure org provides developer environments, cloud infrastructure, and ML/AI GPU platforms for AV research and development teams to build, test, and run faster in GM.

The Role:

GM is looking for a Senior Performance Engineer to join the AV Capacity and Performance Engineering team in the AV Infrastructure org to support our critical efforts in developing autonomous vehicles.  The mission of the AVCPE team is to provide input into large scale ML infrastructure strategy, advise on key decisions affecting our cloud budget, identify and execute optimization projects, and provide capacity planning and engineering expertise to support GM’s efforts in developing autonomous vehicles (AV).

What you’ll be doing (Responsibilities)

• Strategic Infrastructure Development: Adopt and run AV models to support GM’s long-term GPU system strategy and "evergreen" infrastructure roadmap.

• Performance Optimization: Conduct deep-dive analyses of production workloads to identify bottlenecks and propose high-impact optimization strategies.

• Cross-Functional Collaboration: Partner with AI/ML Research, Infrastructure Engineering, and Cloud Vendors to spearhead projects that enhance engineering velocity and cost-efficiency.

• Proactive System Scaling: Identify opportunities for architectural improvements to ensure the scalability and reliability of large-scale ML training and inference environments.

Your skills & abilities (Required Qualifications)

• Experience: 5+ years of professional experience in high-scale infrastructure or ML systems.

• Education: Bachelor’s Degree in Computer Science, a related technical field, or equivalent practical experience.

• Software Proficiency: Expert-level coding skills in Python and the ability to architect/debug within the PyTorch ecosystem.

• Systems Engineering: Proven track record of resolving performance issues within large-scale distributed production environments.

• Architectural Knowledge: Deep understanding of distributed systems, specifically modern ML system design and high-performance computing (HPC).

• Containerization: Hands-on experience with Kubernetes for orchestrating complex workloads.

• GPU Monitoring: Technical proficiency with Nvidia DCGM, nvidia-smi, and Grafana for real-time telemetry and observability.

• Cloud Platforms: Extensive experience working within major cloud ecosystems (AWS, GCP, or Azure).

What will give you a competitive edge (Preferred Qualifications)

• Advanced Experience: 8+ years of relevant industry experience.

• Hardware Expertise: Working knowledge of Enterprise-grade Nvidia GPU architectures, including H100, B200, and GB200.

• Model Deployment: Experience deploying and scaling open-source models via the Hugging Face ecosystem.

• Data Analytics: Proficiency in BigQuery for large-scale data analysis and reporting.

• Profiling Tools: Practical experience utilizing Nvidia Nsight and Nsight Compute for kernel-level performance tuning.

• Soft Skills: Strong technical communication skills with the ability to translate complex infrastructure needs into actionable business insights.

Hybrid/Remote:This role is categorized as hybrid/Remote. This means the successful candidate is expected to report to Sunnyvale Technical Center at minimum three days per week or at the hiring manager’s discretion. Ability to sit remote in Seattle, WA.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role: is $144,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale...

The Role

Global Manufacturing Electrical & SDV is looking for innovators who thrive in tough challenges and are passionate about tackling meaningful work that will shape the future of the automotive industry. This isn’t a role for those looking for an easy path—it’s for those who embrace change, push through obstacles, and take ownership of complex problems. While there will be long days and moments that test your resilience, you’ll find purpose in your work, flexibility to prioritize your family, and the support of a people-first culture. If you’re ready to grow, thrive, and make a real impact, we’d love to hear from you.

WHY: This role exists to accelerate the development and deployment of advanced manufacturing technologies by rapidly designing, building, and implementing innovative electrical and embedded solutions.

WHAT: As an Electrical & Embedded Systems Technical Expert, you will design, develop, validate, and maintain firmware, software, PCBs, and embedded systems that enable GM Manufacturing tools, processes, and test systems across development, validation, and production environments.

HOW:  Supporting the plants to make it happen for our customers.

What You’ll Do (Responsibilities):

• Design and maintain embedded firmware/applications in C/C++ for manufacturing and test equipment.
• Design, review, and validate PCBs and interface hardware for labs, vehicles, and plant tools.
• Integrate and debug vehicle communication (CAN, LIN, Automotive Ethernet/DoIP, UDS) and related diagnostic applications.
• Configure and troubleshoot networked systems (switches, routers, gateways, VLANs) in lab and plant environments.
• Rapidly prototype new hardware/software concepts and take them from lab demo to on‑vehicle / in‑plant deployment.
• Act as a first‑line problem solver for urgent electrical, embedded, and networking issues during builds, trials, and launches.
• Collaborate across IT, Product Engineering, Manufacturing Engineering, and Operations and clearly communicate status and risks.
• Foster a forward-thinking work culture that embraces change and navigates future organizational and industry challenges.
• Build and nurture strategic relationships across various functions including software, manufacturing, and program management to synergize efforts towards future innovations.

Your Skills and Abilities (Required Qualifications):

• Strong experience in firmware/embedded software development using C or C++; familiarity with Python is a plus.
• Solid understanding of embedded systems and hardware bring‑up (microcontrollers, SoCs, SBCs such as NXP, TI, STM32, Raspberry Pi, etc.).
• Hands‑on experience with vehicle communication protocols (CAN, LIN, Automotive Ethernet/DoIP).
• Working knowledge of computer networking (TCP/IP, switches/routers, VLANs, basic routing) and tools such as ping, traceroute, Wireshark.
• Proven debugging and troubleshooting skills across hardware, firmware, and networks.
• Knowledge of vehicle electrical architectures and basic vehicle electrical/mechanical systems.
• Strong written and verbal communication skills in English and ability to manage multiple concurrent, unplanned tasks.
• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Software Engineering, or related field.

What Will Give You a Competitive Edge (Preferred Qualifications):

• Experience with PCB design (schematic capture, layout tools like Altium/OrCAD/KiCad, SI, power, EMI/EMC).
• Experience with DoIP, SoAD, UDS and tools such as Vehicle Spy, CANoe, or similar.
• Background in automotive development, testing, or manufacturing and familiarity with VIP/vehicle architectures.
• Experience with test automation, lab or plant test systems, and scripting (Vehicle Spy, AutoVal, AutoBot, Python, etc.).
• Understanding of basic cybersecurity for in‑vehicle and lab networked devices.
• Hands‑on rapid prototyping (3D printing, quick‑turn PCB services, bench builds, hardware hacking).
• Familiarity with GitHub, Jira, and modern development workflows.

This role is categorized as onsite. This means the selected candidate is expected to report to a specific location on a full-time basis.
The selected candidate will be required to travel <25% for this role.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Role Overview

General Motors is accelerating its transformation into a software‑defined, technology‑led automotive company, with a growing emphasis on in‑house hardware and RF system design. This strategy enables faster innovation, tighter system integration, and greater control of core vehicle technologies.

We are seeking a Experienced Engineering Desense Manager, RF & Wireless Technologies to lead GM’s RF desense and coexistence function across multiple vehicle programs and product platforms. This role provides technical and people leadership for RF coexistence, architecture execution, and validation, while helping scale GM’s internal RF design capability in alignment with agile vehicle development practices.

This is a hands‑on leadership role combining technical authority, team leadership, and program accountability, working closely with cross‑functional partners and suppliers to deliver robust, production‑ready RF solutions.

Key Responsibilities

People & Functional Leadership

• Lead and develop a high‑performing RF Desense & Coexistence engineering team, including senior engineers and technical leaders
• Set technical priorities, execution plans, and workload alignment across multiple vehicle programs
• Drive hiring, onboarding, mentoring, and performance development within the RF Desense & Coex function
• Build depth in RF system knowledge across the team and influence best practices beyond the immediate organization

RF Architecture & System Ownership

• Own RF desense and coexistence performance across assigned vehicle platforms and products
• Lead multi‑radio coexistence efforts across LTE/5G, Wi‑Fi, Bluetooth/BLE, GNSS, UWB, and V2X
• Define RF system budgets, performance targets, and mitigation strategies at the vehicle level
• Drive early identification of desense risks through architecture reviews, simulations, and design assessments

In‑House Design (IHD) & Agile Execution

• Support GM’s in‑house hardware design strategy by embedding RF expertise early in system architecture, PCB design, and integration activities
• Enable faster development cycles by connecting simulation, lab debug, and vehicle validation within agile execution models
• Establish RF design guidelines and reusable methodologies to accelerate in‑house development and reduce late‑stage issues
• Partner with software and systems teams to support evolving software‑defined vehicle architectures
• Partner with hardware, software, mechanical, thermal, EMI/EMC, and vehicle integration teams to resolve system trade‑offs

• Serve as the RF desense/coexistence technical lead in program reviews, risk assessments, and escalation forums

• Define RF requirements, review designs, and ensure mitigation effectiveness across the supply base

• Lead supplier technical reviews, issue resolution, and corrective action plans related to RF performance

Validation, Compliance & Debug Leadership

• Define and execute RF validation strategies including sensitivity, throughput, and coexistence testing
• Support EMC and regulatory compliance activities (FCC, CE, OEM standards, carrier certification)
• Lead complex desense debug efforts involving CPUs, power systems, displays, memory, and vehicle networks
• Establish structured debug methodologies and knowledge capture for reuse across programs

Required Qualifications

• M.S. or Ph.D. in Electrical Engineering or related field
• 10+ years of RF engineering experience, including:
• 5+ years in RF desense and coexistence
• Demonstrated experience leading engineers or technical teams
• Strong expertise in RF interference mechanisms, mitigation techniques, and system‑level trade‑offs
• Experience with RF simulation tools (CST, HFSS, FEKO)
• Experience with RF test equipment (UXM, CMX, MT8000A, CMW500, OTA chambers)
• Proven ability to deliver RF solutions through production in a cross‑functional environment

Preferred Experience

• Automotive RF systems (infotainment, telematics, connected vehicle platforms)
• EMI/EMC integration and vehicle‑level validation
• Experience working in or supporting in‑house hardware design organizations
• Familiarity with agile or hybrid hardware‑software development models

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
       • The salary range for this role is 159,400 to 245,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
       • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
       • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

LI-JK3

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
The selected candidate will be required to travel <25% for this role.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role:

As an AI Platform Engineer on the Enterprise AI team, you will play a critical role in shaping GM’s future through high-impact AI systems. You will implement advanced AI technologies then integrate them into GM’s business strategies, culture, and operational workflows. You’ll be a hands-on technical contributor focused on building core infrastructure components for AI/ML workflows. You’ll work closely with other engineers and teams to deliver performant, production-grade systems.  

What You’ll Do:

• Develop and test cutting-edge AI infrastructure, optimizing machine learning and AI-driven applications across GM’s global platforms.

• Collaborate with cross-functional teams (data scientists, software engineers, product teams) to bring AI solutions into production at scale.

• Implement robust, high-performance software systems with a focus on scalability, security, and efficiency.

• Lead technical initiatives in validation, deployment, and monitoring in real-world environments.

• Implement integrations with diverse data sources and SaaS platforms using APIs, while orchestrating workflows through internal and third-party tools.

Your Skills & Abilities (Required Qualifications):

• 7-10 years’ experience required of software engineering, fluency in .NET, Python or Java.

• Bachelor’s degree in Computer Science, Data Science, AI/ML, or equivalent experience.

• Understanding of machine learning, deep learning, and statistical modelling.

• Familiarity with cloud-based AI/ML platforms (AWS, GCP, Azure) and containerisation using Docker and Kubernetes.

• Experience adapting AI integrations with tools such as Slack, Google Workspace, Moveworks, Glean, Copilot, Workday and/or ServiceNow.

What Will Give You a Competitive Edge (Preferred Qualifications):

• Self-motivated, strong execution, impact-delivering oriented

• Knowledge of algorithms, distributed systems, and API development.

• Excellent problem-solving skills, with the ability to learn and deliver in a fast-paced environment.

• Experience with natural language AI, such as customization, summarization and translation.

This position requires the ability to legally operate a motor vehicle on a regular basis. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.

This job may be eligible for relocation benefits.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Why Join Us:

Digital Key enables customers to use their phones and other devices to securely access and start their vehicles. These experiences rely on advanced Ultra-Wideband (UWB), Bluetooth Low Energy (BLE) and Near-Field Communication (NFC) technologies that must perform reliably in challenging automotive environments alongside Bluetooth, Wi-Fi, cellular, and GNSS systems.

As a Staff Hardware Engineer- UWB/BLE Digital Key Hardware, you will help architect, design, and validate the Wireless hardware that makes secure, precise Digital Key experiences possible for millions of vehicles and customers worldwide. You will work at the intersection of hardware, RF systems, security, and vehicle access, and you will collaborate with teams across GM and with leading silicon and module vendors.

The Role:

You will be a Staff Wireless Hardware Engineer focused on UWB and BLE subsystems used for Digital Key, including UWB/BLE anchors and Digital Key controllers. You will split your time between system-level architecture and requirements and hands-on lab work, including bring-up, RF measurements, coexistence testing, and debug.

You will partner closely with Vehicle Access and Digital Key, Connectivity, Cybersecurity, Antenna, Validation, Manufacturing, and suppliers to deliver robust solutions that can be reused across programs and platforms.

What You'll Do (Responsibilities):

• Act as a hardware and wireless subject matter expert for UWB/BLE within GM’s Digital Key and short-range access systems.
• Define hardware and RF/Wireless requirements for UWB ranging/BLE that support features such as passive entry, passive start, trunk access, and backup phone access.
• Lead the concept and requirements for vehicle Digital Key system development.
• Translate vehicle level use cases and customer scenarios into clear link budgets and performance targets for UWB/BLE including accuracy, precision, latency, robustness, and reader field strength and alignment in automotive packaging.
• Provide UWB/BLE input into short range wireless and antenna roadmaps that can scale across nameplates and regions.

Hands-on RF Design, Bring-up, and Validation

• Lead schematic and PCB layout reviews for UWB/BLE subsystems on Digital Key controllers, focusing on RF paths, antenna and reader interfaces, and coupling paths to other radios.
• Bring up and debug UWB/BLE hardware in the lab, including front-end components, antennas, readers, power and clocking, calibration, and tuning for real vehicle environments.
• Develop and execute test plans for UWB ranging across distances, angles, doors or zones, and environments that reflect real customer access paths, as well as NFC card and phone performance in reader locations.
• Use RF and time domain instrumentation, and over-the-air setups to characterize UWB/BLE performance across voltage, temperature, and mechanical conditions.

Short Range Coexistence Leadership

• Lead coexistence analysis and test content for UWB/BLE with Wi-Fi and Bluetooth, Cellular, GNSS, and other radios.
• Define blocking, defense, and link budget degradation limits for UWB/BLE channels under realistic aggressor conditions, and drive mitigations such as filtering, shielding, containment, and antenna placement and orientation tradeoffs.
• Coordinate with Wi-Fi, Bluetooth, Cellular, and GNSS teams on time domain and resource sharing strategies where appropriate, ensuring coexistence remains a shared responsibility while you provide technical leadership on problem framing, test design, and mitigation plans.

CCC Digital Key, Security, and System Alignment

• Ensure UWB/BLE hardware implementations support current and emerging Car Connectivity Consortium (CCC) Digital Key expectations, particularly for secure, precise ranging and multi device operation.
• Work with Digital Key system and software leads so that UWB, BLE behavior, limitations, and coverage concepts are correctly reflected in system architecture, algorithms, and test strategies.

Execution, Documentation, and Mentorship

• Build reusable reference test setups for UWB/BLE performance, and coexistence that can be used across labs and programs, including setups that directly compare different implementations.
• Produce clear, structured documentation of requirements, architecture decisions, test strategies, coverage studies, and coexistence analysis that can be used in design reviews, engineering requirements, and supplier communication.
• Mentor junior wireless, RF and hardware engineers and lab staff, modeling GM behaviors and helping to scale the Wireless Technology organization’s impact on Digital Key and short range connectivity.

Your Skills & Abilities (Required Qualifications):

• Bachelor's degree in Electrical Engineering, Electronics Engineering, Computer Engineering, or a related field.
• 10+ years of relevant RF or wireless hardware experience.
• Hands-on experience with UWB, and BLE transceivers and systems, including ranging, link budgets, and RF front end design.
• Strong understanding of RF fundamentals, propagation, and multi antenna systems, and the ability to reason about interference and coupling paths in dense multi radio designs such as CHM.
• Experience with RF and hardware design reviews, bring-up, and debug on complex, multi radio boards that integrate UWB, BLE, Bluetooth, Wi-Fi, cellular, and GNSS.
• Demonstrated experience with short range coexistence involving UWB, BLE, Wi-Fi and Bluetooth, cellular, and GNSS, including test definition, analysis, and mitigation strategies.
• Strong written and verbal communication skills and a track record of leading cross functional technical initiatives across hardware, software, systems, and supplier teams.

What Will Give You A Competitive Edge (Preferred Qualifications):

• Master’s degree in Electrical Engineering, Electronics Engineering, Computer Engineering, or a related field.
• Experience delivering Digital Key or similar access systems that leverage UWB, BLE, and NFC in automotive or consumer products.
• Familiarity with CCC Digital Key specifications and broader industry trends in digital vehicle access and secure ranging, including standards such as IEEE 802.15.4z and draft 802.15.4ab for UWB ranging and NFC standards like ISO/IEC 14443, ISO/IEC 15693, and ISO/IEC 18092 (or equivalent regional variants).
• Awareness of cybersecurity and privacy considerations for UWB, BLE and NFC systems used for secure vehicle access.
• Experience with antenna design and placement for UWB, BLE and NFC in vehicle contexts, including roof mounted modules and door or trunk areas.
• Proficiency with RF test equipment and at least one scripting language such as Python for test automation and data analysis.
• Contributions to patents, standards, or technical publications in UWB, NBA, NFC, or short-range wireless hardware design.

Compensation:

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

The expected base compensation for this role is: $160,000 - $250,000. Actual base compensation within the identified range will vary based on factors relevant to the position.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle:

Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.

Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

LI-DH2

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Senior System Engineer – Adaptive Suspension

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Role

Join an innovative team at General Motors within the Global Systems Engineering, Safety and Validation organization. As a Senior System Engineer – Adaptive Suspension, you will serve as a key technical contributor responsible for system‑level requirements development, integration, and validation of Adaptive Suspension features. You will work cross‑functionally with controls, software, hardware, validation, and vehicle teams to deliver robust suspension solutions that balance performance, safety, and customer experience across vehicle programs.

What You'll Do (Responsibilities)

• Subject Matter Expert for Adaptive Damping Suspension (MR/CDC) features and technology for the corporation and owner of the end-end delivery of adaptive suspension systems, from concept through production and service lifecycle
• Provide technical leadership and ownership of system-level requirement definitions and the development of System Technical Specifications, FMEAs, and validation plans, ensuring alignment with subsystem, safety, customer, and functional reliability requirements.
• Collaborate with cross-functional teams including controls, software, hardware, validation, electrical, performance, manufacturing, and other stakeholders to achieve enterprise objectives
• Lead system execution activities including timing alignment, issue resolution, and change management throughout the development lifecycle
• Lead and guide requirement confirmation activities through analysis, simulation and physical testing including virtual, HIL benches and vehicle-level testing
• Escalates and represents system issues in technical reviews and provides regular updates to leadership and stakeholders

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in Engineering (e.g., Mechanical, Electrical, Computer Engineering, Computer Science, or Physics)
• Minimum 3 years of experience in adaptive or fully active suspension systems software design and/or calibration
• Minimum 7 years of experience in automotive vehicle dynamics systems or chassis system development, with demonstrated depth in suspension or chassis controls
• Ability to translate and teach complex suspension software and controls design concepts to cross-functional engineering teams, enabling shared understanding and consistent technical execution
• Strong understanding and demonstrated capability in vehicle dynamics, chassis controls, calibrations and vehicle integration
• Experience with embedded controls
• Experience with requirement development and simulation tools (e.g., DOORs, dNG, MATLAB, CarSim, INCA, CAN,)
• Strong communication, leadership, and problem-solving skills
• Possess a valid driver’s license with the ability to operate test vehicles

What Will Give You A Competitive Edge (Preferred qualifications)

• Master’s degree in Mechanical, Electrical, or Systems Engineering
• Familiarity with model-based development and simulation tools
• Prior experience in adaptive or active suspension system ownership

Why Join Us?

• Be at the forefront of innovation in suspension and chassis technologies
• Work in a collaborative environment with opportunities for technical and leadership growth
• Competitive compensation and benefits
• Make a direct impact on vehicle performance
• Knowledge of propulsion, steering and braking chassis systems
• High degree of Managerial Courage and Comfort with Ambiguity

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
The selected candidate will be required to travel <25% for this role.
This job may be eligible for relocation benefits.
This position requires the ability to legally operate a motor vehicle on a regular basis and successfully complete a Motor Vehicle Report review.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

About the Team:

The AI Validation Platform team owns the cloud-agnostic, reliable, and cost-efficient platform that powers GM’s AV efforts. We’re proud to serve as the infrastructure platform for teams developing autonomous vehicles (L3/L4/L5). Our platform supports the simulated validation of state-of-the-art (SOTA) machine learning models, with a focus on performance, availability, concurrency, and scalability. We enable rapid innovation and development by prioritizing high-impact, ML-centric use cases.

About the Role:

We are seeking a Staff ML Infrastructure engineer to help build and scale robust Compute platforms for Simulation, data labeling, and data generation workflows. In this role, you will focus on scaling, driving efficiency, and high utilization of cutting-edge GPUs, while also leveling up the platform’s reliability. The successful candidate will have experience building and running scalable distributed systems. They will rapidly test and promote ideas, have strong problem-solving skills, and a strong bias for action.

You will play a key role in shaping the architecture, roadmap, and user experience of a robust service supporting our ML simulation and hardware-in-loop validation needs. The ideal candidate brings experience in designing distributed systems, strong problem-solving skills, and a product mindset focused on platform efficiency and reliability. This is a high-impact opportunity to influence the future of AI infrastructure at GM.

What you’ll be doing:

• Collaborate with Simulation engineers, ML engineers and researchers to understand critical workflows, parse them to platform requirements, and deliver incremental value.

• Own the technical roadmap, lead technical decisions on Compute architecture, caching, capacity provisioning, and auto-scaling mechanisms.

• Drive the development of monitoring, observability, and metrics to ensure reliability, performance, and resource optimization.

• Proactively research and integrate frameworks, hardware accelerators, and distributed computing techniques.

• Lead large-scale technical initiatives across GM’s ML infrastructure.

• Raise the engineering bar through technical leadership and by establishing best practices.

At a Minimum We'd Like You To Have

• 8+ years of industry experience, with a focus on high performance backend services.

• Strong expertise in container technologies like Docker and Kubernetes.

• Strong expertise in Go, or other similar coding languages.

• Experience working with cloud platforms such as GCP, Azure, or AWS.

• Experience in delivering cross-functional initiatives.

• Strong communication skills and a proven ability to drive cross-functional initiatives.

• Ability to thrive in a dynamic, multi-tasking environment with ever-evolving priorities.

It's Preferred If You Have

• Hands-on experience with Cloud VM services Google Compute Engine.

• Experience with hardware-in-the-loop validation systems.

• Experience with high performance computing (HPC).

• Familiarity with telemetry, and other feedback loops to inform product improvements.

• Familiarity with hardware acceleration (GPUs) and optimizations.

Why Join Us?

If you’re excited to tackle some of today’s most complex engineering challenges, see the impact of your work in real-world AV applications, and help shape the future of AI infrastructure at GM—this is the team for you.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
·     The salary range for this role: is $197,000 to $326,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
·     Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
·     Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role

The SaaS Collaboration Platforms (SCP) organization provides a broad set of technology products and services to GM Software & Services. Within SCP, the Self‑Service Automation Tools team manages the enterprise password management platform (1Password) and builds day‑two automation for systems administrators—covering patching, release management, application restarts, password rotations, and other intricate orchestrations.