What We Do

The Software Engineering Institute (SEI) advances the state of the art in software engineering and cybersecurity and serves as a national resource for secure, resilient software systems. The SEI works closely with academia, the U.S. Department of War, other government organizations, and industry to improve the development, acquisition, and sustainment of software-intensive systems.

Our core purpose is to help organizations acquire and operate software-reliant systems that are secure, reliable, sustainable, and mission-effective, delivered on time and within budget.

If you are creative, curious, collaborative, technology-focused, and motivated to solve complex problems in support of national defense, we encourage you to apply.

About the Role

We are seeking a Software Development Technical Leader to support U.S. Navy customers in the acquisition of a software-based maintenance and readiness application critical to fleet operations and national security. This position provides technical leadership across the software acquisition lifecycle, including architecture analysis, software development oversight, risk reduction, and sustainment planning. The role requires close collaboration with Naval Program Executive Offices (PEOs) and Program Management Offices (PMOs), sustainment organizations, contractors, and fleet stakeholders to ensure software solutions meet operational, maintainability, and long-term supportability requirements.

The ideal candidate combines hands-on software expertise (C/C++) with experience supporting Naval acquisition programs, legacy-dependent systems, and operational environments. This role includes guiding technical teams, evaluating architectural tradeoffs, developing prototypes, analyzing existing source code, and leading customer engagements that inform acquisition and sustainment decisions.

What You’ll Do

• Support Naval software acquisition and sustainment activities in accordance with DoD 5000-series acquisition guidance, including architecture analysis, software engineering, integration, testing, deployment, and long-term sustainment planning
• Provide technical leadership for a fleet-facing maintenance and readiness application supporting operational availability across afloat and ashore environments
• Advise Navy Program Executive Offices (PEOs), Program Management Offices (PMOs), and government stakeholders on software design decisions, technical risks, modernization strategies, and tradeoffs associated with large, legacy-dependent systems
• Lead software development efforts from concept through deployment, with an emphasis on C and C++-based implementations supporting high-performance and mission-critical use cases
• Demonstrate software architecture expertise by developing and maintaining design artifacts such as data-flow diagrams, sequence diagrams, interface control definitions, and quality attribute specifications to support scalable, maintainable, and resilient solutions
• Analyze existing source code, system interfaces, and data flows to identify technical debt, sustainment risks, and modernization opportunities.
• Develop prototypes and technical demonstrations to support risk reduction, acquisition decision-making, and capability maturation
• Collaborate with senior U.S. Navy and government stakeholders, contractors, integrators, SEI staff, and leadership to assess needs and deliver technically sound recommendations
• Lead and mentor a team of developers, fostering disciplined engineering practices, continuous improvement, and mission focus
• Support customer engagements such as technical interchange meetings (TIMs), design reviews, and acquisition milestone activities, providing clear, defensible technical input
• Maintain awareness of emerging technologies, software development best practices, and Naval digital modernization initiatives relevant to sustainment and maintenance systems

Who You Are

• Ability to obtain and maintain an active Department of War (DoW) security clearance; an existing SECRET or higher clearance is preferred
• Previous experience leading, architecting, or developing large scale Navy acquisition programs including Aegis Combat System, SM-series interceptors, Sea Sparrow Missile System and/or Surface Electronic Warfare programs
• Previous experience working with large scale Naval Command elements such as NAVSEA, NAVAIR, NAVWAR, NAVFAC, NIWC or their predecessors such as SPAWAR

Education and Experience Requirements:

• BS in Computer Science, Electrical Engineering, or a related discipline with ten (10) years of relevant experience; OR Master’s degree in the same fields with eight (8) years of experience; OR PhD in the same fields with five (5) years of experience
• Proven experience designing and implementing complex software architectures for mission-critical or sustainment-focused systems
• Demonstrated ability to identify, analyze, and balance architecture drivers, tradeoffs, extensibility, and long-term maintainability
• Deep understanding of C and C++ software development, including analysis of existing codebases
• Working knowledge of C#, Java, and Python
• Experience across the full software development lifecycle, including the use of static analysis tools and techniques to improve software quality and security
• Demonstrated ability to lead technical teams and engage credibly with government and contractor stakeholders
• Strong analytical, problem-solving, and communication skills, with the ability to explain complex technical concepts to government decision-makers
• Willingness to work directly with U.S. military and government stakeholders in support of mission success
• Ability to travel up to 25% to SEI offices, sponsor sites, conferences, and offsite meetings

Why Work Here

Our benefits philosophy centers on choice, control, and well-being. Through Carnegie Mellon University, SEI offers a comprehensive benefits package, including:

• The opportunity to join a world-class organization with a significant impact on government software systems
• Work alongside leading experts to solve high-consequence national security challenges
• An 8% employer retirement contribution with no employee contribution requirement
• Tuition benefits for you and your dependent children
• Access to university resources, including wellness programs, transit benefits, and onsite fitness facilities at select locations
• Paid parental leave and military leave
• Eligibility for relocation assistance and additional benefits

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.

As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we

• build real-world, mission-scale AI capabilities through solving practical engineering problems

• discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities

• prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities

• identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape

Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.

Overview: As an Machine Learning Engineer, you will specialize in engineering solutions that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities.

The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, the Secure AI Lab conducts and applies cutting-edge research to protect AI systems from adversaries who aim to manipulate the system to learn, do, or reveal something it isn’t supposed to.

The Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas:

• Counter AI Research:Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems.

• AI and ML Algorithm Defense Research:Create practical mitigations and defenses for observed attacks affecting AI and ML algorithms and evaluate the effectiveness of defensive techniques.

• Applied Adversarial Machine Learning:Advance the state of the art in adversarial machine learning by developing and transitioning capabilities to government sponsors.

As an engineer, you will solve problems for government sponsors by analyzing, designing, and building responsible AI systems.

Your day-to-day engineering tasks will include:

• Identifying and investigatingemerging AI and AI-adjacent technologies.

• Defining and refiningprocesses, practices, and tools for working with AI.

• Designing and building well-engineered prototypes of AI systems.

• Transitioning and providingguidance onAI capabilities to government sponsors.

Duties

• Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C++, and Java. You will build and work with data pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods.

• Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.

• Testing and evaluation. You'll conduct rapid prototyping to demonstrate and evaluate technologies in relevant environments. You'll evaluate systems for performance and security. You'll test capabilities using novel testing and analysis techniques.

• Collaboration.You'll actively participate on teams of developers, researchers, designers, and technical leads. You'll collaborate with researchers and our government customers to understand challenges, needs, and possible solutions.

• Mentoring. You'll contribute to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI.

Knowledge and Experience

• Comprehensive knowledge of machine learning; previous experience in adversarial machine learning desirable but not required

• A track record of using well-established engineering practices to solve difficult problems

• An understanding of how to convert research results into functioning prototypes or capabilities

• Experience leading technical projects in novel areas with limited previous work to build upon

• Strong written and verbal communication skills; able to convey complex technical ideas in a layperson’s terms

• Ample experience with publishing written or technical artifacts showcasing your work

• Strong collaboration skills for working with colleagues and sponsors

• Willingness to guide and mentor junior team members

Requirements

• A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with eight (8) years of experience; OR MS in the same fields with one (1) year of experience; OR PhD in a relevant discipline with two (2) years of experience.

• Willingness to work onsite 5 days per week at SEI offices in Pittsburgh, PA or Arlington, VA.

• You will be subject to a background investigation and must be able to obtain and maintain an active Department of War security clearance.

• Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

At Carnegie Mellon University, “My heart is in the work” is more than a slogan — it’s a reflection of who we are. Enrollment Management is seeking a Business Analyst who will bring that same passion and dedication to our team.

This role offers an exciting opportunity for a professional who thrives in a dynamic, fast-paced environment and is motivated to make a meaningful impact. In this position, you will support our mission by identifying business needs, analyzing processes, and providing recommendations to support operational improvements while helping advance key priorities and strengthen our work across the university.

The primary function of the Enrollment Systems Department is to advance the university’s mission by integrating deep expertise in business processes and policies with a comprehensive understanding of institutional information technology capabilities and systems to design solutions that enhance operational efficiency, organizational effectiveness, student success, and the student experience.

This position works cross-functionally with stakeholders to ensure business goals are clearly understood and effectively translated into technical and functional requirements. The role provides support and training for Technolutions Slate, identifies inefficiencies, and ensures data accuracy and integrity.

Responsibilities include monitoring automated processes to ensure accurate operation and collaborating with campus partners and third-party vendors to define, develop, and implement technical solutions that meet business needs and drive operational efficiency and effectiveness. Leverage a strong understanding of Enrollment Management policies, regulations, objectives, and business processes, along with institutional technical capabilities, infrastructure, integrations, data, and technology landscape, to support the following responsibilities:

• Monitor automated processes to ensure proper functionality and data integrity.
• Assist in ensuring timely execution of cycle prep activities
• Respond to support tickets submitted by business offices and other partners, both internal and external
• Coordinate with team members and internal partners to implement updates
• Analyze and evaluate existing Slate infrastructure and business processes to identify inefficiencies and improvement opportunities.
• Collaborate with team members and other IT staff to design and maintain system integrations.
• Develop technical documentation to support project initiatives.
• Conduct testing and validation procedures to ensure solutions meet defined requirements.
• Troubleshoot system issues, provide support, and coordinate with team members for resolution
• Monitor Slate instance performance and recommend upgrades, enhancements, or optimizations.
• Support full project lifecycle activities, including planning, implementation, testing, deployment, and post-production stabilization.
• Assist with change management efforts, user training, and adoption of new systems and processes.
• Gather and interpret user requirements and translate them into functional and technical specifications.
• Apply an understanding of configurable joins and database structure to support data analysis and troubleshooting activities.
• Provide dedicated functional and technical support to one or more primary business areas within Enrollment Management (Financial Aid, Student Accounts, University Registrar, or Admissions).  For each assigned area, maintain comprehensive knowledge of:
• Business processes, procedures, policies, and regulatory requirements
• Relevant internal and external reporting requirements
• Applicable systems and software platforms, including functionality and feature availability

Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

You should demonstrate:

• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent written and verbal communication skills.

Qualifications:

• Bachelor’s  Degree - Information Systems, Computer Science or related field
• 3+ years of experience with Technolutions Slate in a technical capacity
• Experience with requirements gathering, process modeling, and documentation tools
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Requirements:

• Successful pre-employment background check

Additional Information:

• Sponsorship: Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over the sponsorship of an employment visa for this opportunity.  Carnegie Mellon is not a qualifying employer for the STEM OPT benefit: only the 12-month OPT may be used to work at Carnegie Mellon.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Business Analysis and Process Improvement

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

Are you a cybersecurity and/or AI researcher who enjoys a challenge? Are you excited about pioneering new research areas that will impact academia, industry, and national security? If so, we want you for our team, where you’ll collaborate to deliver high-quality results in the emerging area of AI security.

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the Assistant AI Security Researcher role. Originally created in response to one of the first computer viruses -- the Morris worm – in 1988, CERT has remained a leader in cybersecurity research, improving the robustness of software systems, and in responding to sophisticated cybersecurity threats.  Ensuring the robustness and security of AI systems is the next big challenge on the horizon, and we are seeking life-long learners in the fields of cybersecurity, AI/ML, or related areas, who are willing to cross-train to address AI Security.

As part of the Threat Analysis Directorate, you will join a group of security experts focused on advancing the state of the art in AI security at a national and global scale.  Our tasks include vulnerability discovery and assessments for AI systems, evaluation of the effectiveness and robustness of defenses and mitigations for AI systems, reverse engineering AI systems and models, and identifying new areas where security research is needed. We participate in communities of network defenders, software developers and vendors, security researchers, AI practitioners, and policymakers.

You will co-author technical proposals, execute research, and present findings and recommendations to our DoD sponsors, decision makers within government and industry, and at academic conferences. The SEI is a non-profit, federally funded research and development center (FFRDC) at Carnegie Mellon University.

What you’ll do:

• Develop state of the art approaches for analyzing robustness of AI systems.
• Apply these approaches to understanding vulnerabilities in AI systems and how attackers adapt their tradecraft to exploit those vulnerabilities.
• Reverse engineer malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and complex threats to AI systems and effectively participate in the broader security community.
• Study and influence the AI security and vulnerability disclosure ecosystems.
• Evaluate the effectiveness of tools, techniques and processes developed by industry and the AI security research community.
• Uncover and shape some of the fundamental assumptions underlying current best practice in AI security.
• Develop thought models, tools and data sets that can be used to characterize the threats to, and vulnerabilities in, AI systems, and publish those results. You will also use these results to aid in the testing, evaluation and transition of technologies developed by government-funded research programs.
• Identify opportunities to apply AI to improve existing cybersecurity research.

Who you are:

• You have BS in machine learning, cybersecurity, statistics, or related discipline.
• You have an interest in AI/ML and cybersecurity with a penchant for intellectual curiosity and a desire to make an impact beyond your organization.
• You have practical experience with applying cybersecurity knowledge toward vulnerability research, analysis, disclosure, or mitigation.
• You have familiarity with implementing and applying AI/ML techniques to solving practical problems.
• You have familiarity with common AI/ML software packages and tools (e.g., Numpy, Pytorch, Tensorflow, ART).
• You have knowledge or familiarity with reverse engineering tools (e.g. NSA Ghidra, IDA Pro)
• You have experience with Python, C/C++, or low-level programming.
• You have experience developing frameworks, methodologies, or assessments to evaluate effectiveness and robustness of technologies.
• You have excellent communication skills (oral and written), particularly regarding technical communications with non-experts.
• Applicants with strong technical proficiency in either AI/ML or cybersecurity are welcome to apply, provided a demonstrated intellectual agility and commitment required for accelerated learning within the role.

You are able to:

• Travel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%).
• You will be subject to a background check and will need to obtain and maintain a Department of Defense security clearance.

Why work here?

• Join a world-class organization that continues to have a significant impact on software.
• Work with cutting-edge technologies and dedicated experts to solve tough problems for the government and the nation.
• Be surrounded by friendly and knowledgeable staff with broad expertise across AI/ML, cybersecurity, software engineering, risk management, and policy creation.
• Get 8% monthly contribution for your retirement, without having to contribute yourself.
• Get tuition benefits to CMU and other institutions for you and your dependent children.
• Enjoy a healthy work/life balance with flexible work arrangements and paid parental and military leave.
• Enjoy annual professional development opportunities; attend conferences and training or obtain a certification and get reimbursed for membership in professional societies.
• Qualify for relocation assistance.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

The Senior DevOps Engineer designs, builds, and maintains secure, reliable, and scalable application platforms and delivery pipelines. This role partners closely with engineering, security, and IT operations teams to improve the full software delivery lifecycle—planning, building, testing, deploying, and supporting services—through automation, infrastructure-as-code, and modern DevOps practices. The Senior DevOps Engineer also contributes hands-on engineering work, technical assessments, operational documentation, and continuous improvement initiatives across hybrid cloud and on-prem environments.

Key Responsibilities:

Platform Engineering & Operations

• Design, implement, and operate resilient infrastructure and application platforms across hybrid cloud and on-prem environments.
• Ensure platforms are secure, reliable, scalable, and cost-aware; identify and remediate operational risks.
• Install, upgrade, troubleshoot, and maintain internal and third-party applications and supporting services.
• Develop and maintain operational runbooks, standards, and technical documentation.

Automation & CI/CD:

• Design, build, and maintain CI/CD pipelines to automate build, test, release, and deployment processes (e.g., Jenkins, GitHub Actions, GitLab CI/CD).
• Implement GitOps and automated deployment patterns to improve consistency and reduce manual effort.
• Drive continuous improvement by identifying repetitive tasks and automating workflows to simplify them.

Infrastructure as Code & Configuration Management:

• Build and maintain infrastructure using IaC and configuration management tooling (e.g., Terraform, Ansible, Puppet).
• Standardize environments and configurations to improve reliability, auditability, and delivery speed.
• Manage software/artifact repositories (e.g., Artifactory, Nexus) to support versioning, release management, and deployments.

Containers & Orchestration:

• Deploy and operate container platforms and workloads (e.g., Kubernetes, OpenShift).
• Establish best practices for container lifecycle, configuration, observability, and operational support.

Collaboration & Delivery:

• Partner with development teams to ensure changes are tested, integrated, and deployed efficiently and safely.
• Participate in technical assessments and solution design, including feasibility, compatibility, and effort estimates.
• Manage multiple priorities across teams and stakeholders; communicate clearly about risks, timelines, and operational readiness.

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field, or an equivalent combination of education and relevant experience.
• 5+ years of experience in DevOps, SRE, platform engineering, systems engineering, or related roles.
• Strong Linux and/or Windows systems experience and proven troubleshooting skills in distributed environments.
• Hands-on experience building and operating CI/CD pipelines and modern software delivery workflows.
• Hands-on experience with Infrastructure as Code and configuration management (e.g., Terraform, Ansible, Puppet).
• Experience operating containerized workloads and orchestration platforms (e.g., Kubernetes or OpenShift).
• Proficiency in scripting/automation (e.g., Python, Bash, PowerShell).
• Demonstrated ability to produce clear documentation (runbooks, standards, how-to guides) and improve operational processes.
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Preferred Qualifications:

• Experience in higher education, research computing, or similarly complex multi-tenant environments.
• Familiarity with security/compliance frameworks and practices (e.g., NIST, FERPA, HIPAA) as they apply to IT services.
• Experience with IT service management practices (e.g., ITIL/ITSM) and service improvement methods (e.g., Lean/Six Sigma).
• Experience implementing observability practices (logging, metrics, tracing) and operational readiness standards.

Core Competencies:

• Systems thinking and operational excellence mindset
• Strong problem-solving and incident-response skills
• Clear communication and stakeholder collaboration
• Ability to prioritize and deliver across multiple efforts
• Strong engineering discipline (automation-first, testable, repeatable, documented)

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

The Computing Services central IT department provides services that have a strategic impact on university goals. We make service decisions based on interaction and valuable input from colleagues engaged in the education, research, and administration efforts of the university. We are a learning organization and approach successes and mistakes as a learning experience to continually cultivate a culture of intelligent risk taking. We want to hire versatile team members who are inspired and passionate about their work. Join us and be part of a team committed to excellence, innovation, diversity, team and individual growth.

The Senior Database Administrator is responsible for administering, securing, and optimizing Microsoft SQL Server databases running in a Windows ecosystem and across public cloud platforms. This role installs, configures, maintains, patches, and tunes databases and the underlying Windows and cloud infrastructure that support them; designs and enforces standards; performs backup and recovery and disaster-recovery planning and testing; provides Level-2/Level-3 escalation support for critical partner and internal applications; and designs and operates cloud and hybrid application architectures and database platforms. The Senior DBA collaborates with application developers, cloud and infrastructure engineers, storage, and network teams to ensure reliable, performant, secure, and cost-effective data platforms.

Your core responsibilities will include:

• Install, configure, and maintain Microsoft SQL Server instances and related components across Windows and cloud platforms.
• Implement and enforce database security measures to protect data across on-prem and cloud deployments, including encryption, access controls, and cloud IAM integrations.
• Monitor database performance, diagnose problems, and apply tuning, indexing, and query optimization to maintain application performance in both environments.
• Perform backup and recovery operations; design and test DR plans using cloud provider capabilities (snapshots, managed backups, cross-region replication) and on-prem strategies.
• Maintain and enforce standards for database environments and technical documentation; ensure cloud governance, tagging, and change management procedures are followed.
• Provide Level-2/Level-3 escalation support and troubleshooting for production incidents and participate in an on-call rotation as required.
• Collaborate with application and cloud/infrastructure teams to design cloud architectures, optimize database costs and performance, and support deployments.
• Other duties as assigned.

Position specific job responsibilities:

1. Cloud Architecture & Operations: Design, implement, and operate database platforms across public clouds and hybrid architectures — selecting managed services, sizing instances, configuring networking, and implementing secure connectivity (VNet/VPC, private endpoints, peering, VPN/ExpressRoute/Direct Connect).

2. Managed & Native Services: Operate and optimize managed cloud database services (Azure SQL, RDS/Aurora, Cloud SQL), NoSQL/document databases (Cosmos DB, DynamoDB), and analytics platforms (Synapse, Redshift, BigQuery). Implement best practices for scalability, availability, and cost.

3. Migration & Modernization: Lead and execute database migration efforts (assessment, schema/data migration, cutover, validation), refactoring where appropriate for cloud-native usage, and runbook updates post-migration.

4. Automation & IaC: Implement Infrastructure as Code (Terraform, ARM, CloudFormation) and automations (PowerShell, Azure CLI, AWS CLI) to deploy, configure, and manage databases and related cloud infrastructure reproducibly.

5. Observability & Cost Management: Create monitoring and alerting (cloud native + SQL monitoring) and own cost governance for database workloads (rightsizing, autoscaling, and reserved instance/commitment strategies).

6. Security & Compliance: Implement cloud security controls, encryption-at-rest/in-transit, key management, IAM policies, and assist with compliance assessments and evidence collection.

7. Hybrid Operations: Manage hybrid topologies that span on-prem Windows servers and cloud services, orchestrate failover and DR between on-prem and cloud as needed, and ensure consistent configuration and documentation.

8. Collaboration & Leadership: Act as technical lead on cloud database projects, mentor junior staff, and work with application owners to migrate and modernize application database dependencies.

Flexibility, excellence, and passion are vital qualities within Computing Services. Inclusion, collaboration, and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who is able to effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

Qualifications:

• Bachelor’s degree in Computer Science, Information Science, Computer Engineering, or a closely related field.
• Preferred - Master’s degree or advanced coursework in databases, cloud computing, systems, or information security.
• 3–5 years of database administration experience and 3–5 years of systems administration experience in on-premise and public cloud vendor environments. Proven hands-on experience with Microsoft SQL Server and Windows Server is required.

Type of Required Experience:

• Hands-on Microsoft SQL Server administration (installation, configuration, upgrades, patching) across on-prem and cloud-hosted deployments (e.g., SQL Server on Windows VMs, SQL Server in containers, SQL Server on Azure/AWS managed VMs).
• Experience with container storage, cloud storage (AWS S3, Azure Blob), monitoring and capacity planning tools, automation (PowerShell, Python, Ansible), and operational tooling (ServiceNow).
• Experience with cloud-managed relational databases and cloud database paradigms, including but not limited to:
• Managed relational: Azure SQL Database / Managed Instance, Amazon RDS / Aurora, Google Cloud SQL.
• Data warehouse / analytics: Azure Synapse, Amazon Redshift, Google BigQuery.
• NoSQL / document / key-value: Azure Cosmos DB, Amazon DynamoDB, Cloud Firestore, or equivalent.
• Caching & in-memory: Azure Cache for Redis, Amazon ElastiCache.
• Proven experience with HA/DR and scaling in the cloud (multi-AZ, read replicas, geo-replication, managed backups, point-in-time restore, cross-region replication).
• Experience with T-SQL development and debugging, query optimization, index design and maintenance, statistics and plan-analysis in both on-prem and cloud environments.
• Experience with cloud application architectures: microservices, serverless, containerized workloads (Kubernetes/EKS/AKS/GKE), and patterns for connecting applications securely to databases (VPC/VNet, service endpoints, private link).
• Experience with Infrastructure-as-Code and automation: Terraform, ARM templates, CloudFormation, Azure CLI / PowerShell / AWS CLI, CI/CD pipelines for database change management.
• Experience with cloud networking and identity integration: VPN/ExpressRoute/Direct Connect, VPC/VNet design, Azure AD / IAM roles and policies, key management services and cloud KMS integration for encryption.
• Experience with monitoring, observability, and cost governance in cloud: Azure Monitor, AWS CloudWatch, GCP Stackdriver, cloud cost tools and tagging strategies.
• Experience performing migrations from on-premises to cloud, hybrid configurations, lift-and-shift and refactor approaches, and validating performance and security after migration.
• Familiarity with storage/IO tuning for cloud disks and cloud storage (managed disks, EBS, cloud file shares), and cloud backup/restore tooling and retention policies.
• Experience with ITSM/change-management in cloud and hybrid environments, and with secure design practices and compliance controls for cloud data platforms.

Helpful: ITIL Foundation, security certifications (CompTIA Security+, CISSP).

Position Specific Licenses/Certifications:

Preferred / Helpful Certifications: Microsoft Certified: Azure Database Administrator Associate, Microsoft Certified: Azure Solutions Architect, AWS Database Specialty or AWS Solutions Architect, Google Cloud Professional Data Engineer, Terraform Associate.

Physical and Mental Requirements:

• Ability to work under pressure, meet deadlines, pay attention to detail and maintain composure when dealing with difficult situations. Able to prioritize multiple tasks and work as part of a team.

Decision Making:

• Decisions affect operational reliability, cloud architecture choices, migration approaches, and cost/performance tradeoffs. Accountable for availability, integrity, recoverability, and cost efficiency of assigned database services.

Working Conditions:

• Normal office environment with flexibility for off-hours response for production incidents and participation in on-call rotations. Works with general direction and exercises independent judgment to implement cloud and on-prem solutions.

Accountability:

• Not responsible for formal supervision (Senior level) but provides technical guidance and mentorship to junior staff and contractors. Accountable for the successful completion of individual goals and priorities.

Direction:

• Receives little instruction on day-to-day work and receives general instructions on new assignments.

Supervision:

• Not responsible for supervising others.

Requirements:

• Successful background check.

Are you interested in this exciting opportunity?! Apply today!

Joining the CMU team opens the door to an array of exceptional benefits.

**Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescript

Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!

The Pittsburgh Supercomputing Center (PSC) a joint research center of Carnegie Mellon University and the University of Pittsburgh, was established in 1986, and for over 30 years has provided university, government, and industrial researchers with access to several of the most powerful systems for advanced computational research, communications, and data storage available to scientists, engineers and scholars nationwide for unclassified research. PSC advances science across a wide spectrum of fields, including artificial intelligence / machine learning, medical imaging, weather modeling, cell biology, and genomics.

PSC is seeking creative and capable individuals to join our highly experienced Advanced Systems and Operations team as our new Cyber Infrastructure Engineer.  The successful candidate will collaborate with the research community and key IT staff to create robust solutions by designing and implementing next-generation infrastructure. They will be responsible for planning and managing automations while also maintaining the current PSC resources. This is an exciting opportunity to join a growing team at the nexus of technology, research, and software development dedicated to helping the scientific community solve challenging and complex problems.

The Advanced Systems and Operations group within PSC is responsible for the integration and operations of computational assets central to this pursuit. We are looking for creative and capable individuals to join an experienced team and continue our part in pushing forward the boundaries of science.

Core Responsibilities:

• Conceives, designs, implements, administers, optimizes, and monitors existing and future HPC systems and the cyber infrastructure that supports them.
• Collaborate with research teams and head technology responsibilities for grant implementation.
• Build relationships with research community and external vendors.
• Assess and provide advanced technical support to research community for ongoing and future systems and/or application needs.
• Contribute to best practices, documentation, and published papers.
• Proactive and reactive performance analysis, monitoring, troubleshooting and resolution of issues.
• Engineer tools and automations to assist with maintenance tasks.
• Research and explore next-generation technologies for future implementation.
• Perform operating system software upgrades, deployments and troubleshooting of the project servers and desktop workstations.
• Other related duties as assigned.

Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University.  We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

Qualifications:

• Bachelor’s degree or equivalent experience
• Experience with Linux systems administration
• Experience with file system administration.
• Experience with network switching and routing.
• Experience with scripting languages (e.g. Python, BASH)
• Desire to teach, learn and lead for continuing team development.
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Preferred Skills and Experience:

• Experience writing and/or extending systems administration software (e.g. utilities, libraries, plugins)
• Experience with parallel file systems (e.g. Lustre, GPFS)
• Experience in high performance computing (HPC) environment.
• Experience with configuration management software such as Puppet, Chef, or Ansible for systems and networking.
• Experience with virtualization management infrastructure such as oVirt, VMWare, KVM
• Experience with cloud services such as AWS, GCP, OpenStack, or Azure.
• Experience with containerize execution such as Singularity, Docker, and Kubernetes.

Requirements:

• Successful background check

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!

The Pittsburgh Supercomputing Center (PSC) a joint research center of Carnegie Mellon University and the University of Pittsburgh, was established in 1986, and for over 30 years has provided university, government, and industrial researchers with access to several of the most powerful systems for advanced computational research, communications, and data storage available to scientists, engineers, and scholars nationwide for unclassified research. PSC advances science across a wide spectrum of fields, including artificial intelligence/machine learning, medical imaging, weather modeling, cell biology, and genomics.

PSC provides a high performance computing and communications service in support of the nation’s computational science work. In addition, PSC is a member of NSF ACCESS, a national computer collaboration of 15 partners from across the U.S. that provides high performance computing, networking, data, scientific visualization and instrument services to the nation’s scientists. The overall responsibility of the Principal Information Security Officer (PISO) is to lead teams of PSC staff members, particularly from the Networking and Systems & Operations groups, in order to develop and implement plans for integrated network-, host- and human-based information security practices and procedures for PSC.

The PISO keeps PSC leadership informed about current, ongoing, and emerging security risks affecting both PSC and the broader academic community. In addition to internal responsibilities, the PISO serves in external roles as a key member of Trusted CI—the NSF Cybersecurity Center of Excellence—and in a leadership capacity for the NSF ACCESS Security Team.

Within PSC, the PISO collaborates with staff to assess computer security risks, select and implement appropriate safeguards, develop and execute security plans, monitor the effectiveness of measures, and lead responses to security incidents. In Trusted CI, the PISO undertakes similar responsibilities as directed by its leadership, with a particular focus on advancing cybersecurity interoperability.

Core Responsibilities:

• Oversees information security of leading edge computing and communications equipment. that is in round-the-clock use by the national research community. PSC's Equipment is valued at roughly $60 million.
• Leads teams of cybersecurity experts from PSC.
• Oversees ACCESS Security Team activities including: policy development, incident response, project planning and advancement, vulnerability evaluation and risk management, reporting requirements to ACCESS and NSF.
• Actively participates in Trusted CI projects and initiatives, assists with center operations, and leads projects with other Trusted CI staff. Will serve as PSC site lead and Co-PI for Trusted CI.
• Coordinate security in PSC: Conduct periodic assessments of PSC’s cybersecurity program (based on the Trusted CI Framework core). With input from members of a team and/or leadership, enhance PSC’s cybersecurity program.
• Stay current with new security threats, technological advances, and regulatory requirements.
• Explore applicable cybersecurity improvement strategies and tactics.
• Lead team that carries out the implementation plans. Coordinate periodic audits of compliance of PSC practices and procedures to requirements, regulations, and standards.
• Lead PSC incident response, including protection and custody of evidence. Interact with law enforcement or organizations as necessary.
• Oversee development, maintenance, and dissemination of PSC’s documentation on center information security policies and procedures.
• Participate in local and national computer security incident response groups.
• Develop and promote cybersecurity awareness among staff and users.
• Work with trusted partners/projects (CMU/Pitt/HuBMAP/Neocortex/BIL) IRT cybersecurity projects and programs.
• Serve as a [CP}ISO on related projects (Neocortex, HuBMAP, BIL, SenNet, ACCESS, etc
• Regularly report to PSC management on information security posture and oversee scheduled security training for staff and users.
• Acts as team leader. Determines own and team's priorities based on overall goals, and may deviate from established procedures and practices as long as end results meet performance objectives and established goals.
• Gives advice and counsel to PSC, Trusted CI and ACCESS higher management which significantly influence decisions.
• Performs under minimal supervision. All normal duties and responsibilities are handled independently. Only the most difficult or unique situations are referred to higher management levels.
• Assesses the severity of an information security or system problem independently and makes a problem determination quickly.
• Regular status reports and attendance at various meetings is required.

Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University.  We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

Qualifications:

• Minimum Bachelor’s Degree in Computer Science or a related field.
• Minimum requirements include knowledge and skills developed through 10+ years of work experience in a related job discipline.
• A graduate degree in cybersecurity or related field, or certification such as CISSP, CISM, CISA, or CRISC is preferred.
• Broad understanding of current computer, data and networking information security practices in a high performance computing and communications environment; demonstrated ability to apply that knowledge to develop and implement a practical, effective security program.
• Excellent analytical, technical, reasoning, and innovative problem-solving skills.
• Ability to lead teams and to function competently in a team environment.
• Ability to interact and communicate effectively and courteously with members of PSC, the broader university community, ACCESS and its partner sites, Trusted CI, and the NSF Cyberinfrastructure community.
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Requirements:

• Successful background check

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Security

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

**This position within the Software Engineering Institute (SEI) will support work in Huntsville, Alabama and other locations as required. This is an onsite position based in Huntsville, AL.**

SEI advances software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia, defense and government organizations, and industry to continually improve software-intensive systems. Our core purpose is to help organizations improve software engineering capabilities and develop or acquire high quality software, on budget and on time.

Position Summary:

SEI is seeking an embedded software engineer to perform embedded software systems analysis and to develop strategic partnerships with customers located in Huntsville, AL. Responsibilities may include, but are not limited to, assisting customers with efforts related to software development and cybersecurity from a cost, schedule and performance perspective;  integrating with the customer contractor software development team to provide on-the-spot technical advice; helping to address known issues and communicating progress; assessing the credibility of software development plans for future performance; assisting customers in the proper application of tools, techniques, and procedures to solve some of the most difficult problems in software engineering and cybersecurity.

Duties:

• Provide embedded software engineering support at our customer location in Huntsville, AL and other locations as required.
• Apply program and project management skills (in collaboration with SEI colleagues) to include working with clients, developing proposals, and establishing relationships with new DoW and/or government clients.
• Analyze software architecture in terms of functional and non-functional quality attributes, understand how to apply disciplined architecture methods and techniques for trade-off analysis toward optimized solutions.
• Analyze the use and application of modern software development techniques e.g., DevSecOps tailored to customer domain environments to effectively and efficiently develop software that meets stakeholder expectations.
• Analyze use of cyber security approaches, methodologies, tools, and techniques to prevent risks and issues, and mitigate those that emerge.
• Analyze FPGA hardware and software interface specifications described via VHDL or Verilog to ensure it meets system requirements.
• Analyze software test and evaluation techniques and methodologies.
• Use static, dynamic and complexity analysis software tools to identify areas of software weakness where additional design / refactoring may be required.
• Analyze software contractor’s task development, activities, deliverables, risks, issues, and recommend mitigation strategies and techniques as appropriate.

Requirements, Knowledge, Skills, and Abilities:

• BS with 8 years’ experience, MS with 5 years’ experience or PhD with 2 years’ experience in Software Engineering, Computer Science, Electrical Engineering, or related field, with professional experience as a software developer or software engineer or verification engineer in a collaborative team environment.
• Flexible to travel to other SEI offices, sponsor sites, conferences, and offsite meetings on occasion. Moderate (25%) travel outside of your home location.
• You will be subject to a background investigation and must be eligible to obtain and maintain a Department of War security clearance.
• Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity.
• At least 75% of your weekly effort will be onsite in either an SEI or customer facility.
• Understanding of the DoW Systems Engineering lifecycle and the use of Digital Engineering capabilities to document and assess software engineering and development activities.
• Familiarity with embedded software and/or firmware safety standards e.g., MIL-STD-882E, DO-178C, DO-254.
• Proficiency in software development languages e.g., C, C++, Ada and/or firmware development languages (e.g., VHDL, Verilog).
• Experience with developing or analyzing embedded software built using modern Real Time Operating Systems like VxWorks.
• Experience with embedded software, performance tests and interpreting the results.

Our benefits philosophy encompasses three driving priorities: choice, control, and well-being. Through Carnegie Mellon University, SEI offers a wide range of competitive employee benefits, including comprehensive health insurance, tuition benefits, generous time off, and a robust retirement savings policy to name a few.

• Join a world-class organization of National Security superheroes that have unrivaled impact on software, system, AI, and systemic vulnerabilities.

• Work with cutting edge technologies and experts to solve tough problems for the government and the nation.

• Get 8% monthly contribution for your retirement, without having to contribute yourself.
• Get tuition benefits to CMU and other institutions for you and your dependent children.
• Enjoy a healthy work/life balance with flexible work arrangements and paid parental and military leave.
• Enjoy annual professional development opportunities; take courses at CMU; attend conferences and training or obtain a certification and get reimbursed for membership in professional societies.
• Qualify for relocation assistance and so much more.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Remote

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

Are you a cybersecurity and/or AI researcher who enjoys a challenge? Are you excited about pioneering new research areas that will impact academia, industry, and national security? If so, we want you for our team, where you’ll collaborate to deliver high-quality results in the emerging area of AI security.

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the AI Security Researcher role. Originally created in response to one of the first computer viruses -- the Morris worm – in 1988, CERT has remained a leader in cybersecurity research, improving the robustness of software systems, and in responding to sophisticated cybersecurity threats.  Ensuring the robustness and security of AI systems is the next big challenge on the horizon, and we are seeking life-long learners in the fields of cybersecurity, AI/ML, or related areas, who are willing to cross-train to address AI Security.  

As part of the Threat Analysis Directorate, you will join a group of security experts focused on advancing the state of the art in AI security at a national and global scale.  Our tasks include vulnerability discovery and assessments for AI systems, evaluation of the effectiveness and robustness of defenses and mitigations for AI systems, reverse engineering AI systems and models, and identifying new areas where security research is needed. We participate in communities of network defenders, software developers and vendors, security researchers, AI practitioners, and policymakers. You'll get a chance to work with elite AI and cybersecurity professionals, university faculty, and government representatives to build new methodologies and technologies that will influence national AI security strategy for decades to come.

You will co-author research proposals, execute studies, and present findings and recommendations to our DoW sponsors, decision makers within government and industry, and at academic conferences. The SEI is a non-profit, federally funded research and development center (FFRDC) at Carnegie Mellon University.

What you’ll do:

• Develop state of the art approaches for analyzing robustness of AI systems.
• Apply these approaches to understanding vulnerabilities in AI systems and how attackers adapt their tradecraft to exploit those vulnerabilities.
• Reverse engineer malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and complex threats to AI systems, and effectively participate in the broader security community.
• Study and influence the AI security and vulnerability disclosure ecosystems.
• Evaluate the effectiveness of tools, techniques and processes developed by industry and the AI security research community.
• Uncover and shape some of the fundamental assumptions underlying current best practice in AI security.
• Develop thought models, tools and data sets that can be used to characterize the threats to, and vulnerabilities in, AI systems, and publish those results. You will also use these results to aid in the testing, evaluation and transition of technologies developed by government-funded research programs.
• Identify opportunities to apply AI to improve existing cybersecurity research.

Who you are:

• You have BS in machine learning, cybersecurity, statistics, or related discipline with three (3) years of experience; OR MS in the same fields with one (1) year of experience.
• You have a deep interest in AI/ML and cybersecurity with a penchant for intellectual curiosity and a desire to make an impact beyond your organization.
• You have practical experience with applying cybersecurity knowledge toward vulnerability research, analysis, disclosure, or mitigation.
• You have familiarity with implementing and applying AI/ML techniques to solving practical problems.
• You have familiarity with common AI/ML software packages and tools (e.g., Numpy, Pytorch, Tensorflow, ART).
• You have knowledge or familiarity with reverse engineering tools (e.g. NSA Ghidra, IDA Pro)
• You have experience with Python, C/C++, or low-level programming.
• You have experience developing frameworks, methodologies, or assessments to evaluate effectiveness and robustness of technologies.
• You have superb communication skills (oral and written), particularly regarding technical communications with non-experts.
• Applicants with a solid technical background in AI/ML or cybersecurity, but not both, are encouraged to apply provided a strong desire to rapidly learn on the job.

You are able to:

• Travel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%).
• You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance.

Why work here?

• Join a world-class organization that continues to have a significant impact on software.
• Work with cutting-edge technologies and dedicated experts to solve tough problems for the government and the nation.
• Be surrounded by friendly and knowledgeable staff with broad expertise across AI/ML, cybersecurity, software engineering, risk management, and policy creation.
• Get 8% monthly contribution for your retirement, without having to contribute yourself.
• Get tuition benefits to CMU and other institutions for you and your dependent children.
• Enjoy a healthy work/life balance with flexible work arrangements and paid parental and military leave.
• Enjoy annual professional development opportunities; attend conferences and training or obtain a certification and get reimbursed for membership in professional societies.
• Qualify for relocation assistance and so much more.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

We are seeking a highly skilled Resiliency Automation Engineer to join our team supporting embedded systems development in a regulated environment. This role will blend software engineering expertise, automation, and toolchain development to ensure our codebase is stable, secure, and maintainable.

In this role, you will collaborate closely with development, verification, and operations teams to build and maintain CI/CD pipelines, static analysis workflows, and deployment environments. You will participate in all phases of the application development lifecycle and will be involved in key decisions regarding software design and technology selection including hands-on development activities.

Requirements:

• BS in Computer Science, Software Engineering, Computer Engineering, or a related field with 8 years of relevant experience; OR MS in Computer Science, Information Systems, Systems and/or Engineering, or Acquisition Management with 5 years of experience; OR Ph.D. with 2 years of experience.
• You have a willingness to travel (25%) outside of your office location to other SEI offices, sponsor sites, conferences, and offsite meetings.
• You will be subject to a background investigation, and you must have the ability to obtain and maintain a Department of War (DoW) security clearance.

Knowledge, Skills and Abilities:

• Strong ability to analyze source code and identify quality concerns, architecture challenges and security weaknesses.
• Design, implement, and maintain CI/CD pipelines and automated workflows for embedded software projects written in C, C++ and Java.
• Integrate and manage static analysis tools (e.g., SonarQube, CppCheck, Clang-Tidy) to monitor code quality, enforce coding standards, and identify defects early in the lifecycle.
• Collaborate with development and verification leads to incorporate automated test, build, and deployment processes into embedded firmware and software systems.
• Automate infrastructure provisioning and configuration management (e.g., using Docker and Kubernetes) for test, staging, and production environments.
• Provide guidance on best practices for software engineering, code quality, maintainability, and scalability in an embedded systems context.
• Collaborate with teams from multiple organizations to support integrated system delivery, ensuring the build and toolchain workflows align with mission requirements.
• Relevant recent experience, within the last 3 years, working on a large software development program.
• Deep familiarity with general Linux operating system concepts, embedded RTOSes and development environments.
• Knowledge of how to apply system engineering principles to system software development.

Desired Experience:

• Experience with Java in a DevOps or automation context.
• Prior work in regulated or mission-critical environments. (e.g., aerospace, defense, embedded systems)
• Familiarity with observability, logging, and monitoring tools as part of the software delivery lifecycle.
• Experience mentoring or leading junior engineers and contributing to tool chain or process improvements.

Why work here?

• Be a part of a world-class organization that has significant impacts on software in government.
• Work with cutting-edge technologies and leading experts to solve critical government challenges.
• Publish your research, attend or present at prestigious events, and enjoy annual professional development opportunities.
• Get access to university resources, including campus fitness facilities, mindfulness programs, childcare, free transportation on the Port Authority Transit System, and more.
• Take advantage of paid parental and military leave.
• Work in the heart of Oakland, a few blocks from Carnegie Mellon University and the University of Pittsburgh.
• Qualify for relocation assistance.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

Who we are

SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. Its core purposes are to help organizations improve software engineering capabilities, advance cybersecurity methods and technologies, and bring the discipline of software engineering to AI systems.

About the role

Are you an engineer who enjoys a challenge? Are you excited about working for a Federally Funded Research and Development Center focusing on areas critical to national security? Do you want to join a collaborative team that develops and uses best-in-class tools to enable end-to-end software development? If so, we want you for our team, where you’ll be part of an exciting and impactful culture of collaboration that delivers timely and high-quality results.

We are looking for a creative engineer to design and develop software prototypes and research methods for software resilience.  We are seeking a technology-focused team member who has experience with software engineering, RTOS scheduling, and memory management. You’ll develop tools, techniques, and processes to solve some of the most difficult software problems that our government faces.

What you’ll do

• Design and analyze embedded software tools and capabilities, including software exception handlers, inter-process communication mechanisms, and software fault monitors.
• Use static, dynamic, and complexity analysis software tools to identify software weaknesses and areas that need additional design and refactoring.
• Ensure deterministic performance by architecting and developing software using state-of-the-art techniques.
• Lead a team of developers while fostering a culture of continuous improvement and innovation, taking ownership of high-visibility tasks and deliverables for customers.

Who you are

• Candidates must possess an active TS/SCI DoW security clearance issued by the U.S. government. A counterintelligence polygraph is required or must be obtained upon request. Applicants must also meet additional customer-specific security requirements.
• You have a BS in Computer Science, Electrical Engineering, or related disciple with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR a PhD in the same fields with five (5) years of experience.
• You have extensive experience with ground and space systems, including software acquisition, architecture, systems/software engineering, testing, and operations, with a deep understanding of the complexities involved in acquiring large, legacy-dependent systems.
• You have demonstrated experience collaborating with senior customers, program managers, internal staff, and SEI leadership to assess and address customer needs effectively.
• You’ve worked in a collaborative team environment as a software developer, software engineer, or verification engineer.
• You understand the Department of War Systems Engineering lifecycle.
• You’re proficient in one or more of the following: C and C++, Python, MATLAB, C#, or JAVA.
• You’ve worked with modern RTOSes, such as VxWorks and Integrity, and developed and analyzed embedded software.
• You’ve developed embedded software and performance tests and interpreted the results.
• You are willing to work 100% of your week onsite at either SEI or a customer facility.
• You’re willing to travel (25%) outside your office location to other SEI offices, sponsor sites, conferences, and offsite meetings.

Why work here?

Our benefits philosophy encompasses three driving priorities: choice, control, and well-being. Through Carnegie Mellon University, SEI offers a wide range of competitive employee benefits, including comprehensive health insurance, tuition benefits, generous time off, and a robust retirement savings policy to name a few.

• Join a world-class organization that has a significant impact on software in government.
• Work with cutting edge technologies and experts to solve tough problems for the government and the nation.
• Get an 8% monthly contribution for your retirement plan without having to contribute to it yourself.
• Get tuition benefits for you and your dependent children.
• Get access to university resources including mindfulness programs, a monthly transit benefit on WMATA, free onsite gym at our Arlington facility, etc.
• Enjoy paid parental and military leave.
• Qualify for relocation assistance and so much more.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Arlington, VA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

Are you a cybersecurity and/or AI researcher who enjoys a challenge? Are you excited about pioneering new research areas that will impact academia, industry, and national security? If so, we want you for our team, where you’ll collaborate to deliver high-quality results in the emerging area of AI security.

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the AI Security Researcher role. Originally created in response to one of the first computer viruses -- the Morris worm – in 1988, CERT has remained a leader in cybersecurity research, improving the robustness of software systems, and in responding to sophisticated cybersecurity threats.  Ensuring the robustness and security of AI systems is the next big challenge on the horizon, and we are seeking life-long learners in the fields of cybersecurity, AI/ML, or related areas, who are willing to cross-train to address AI Security.

As part of the Threat Analysis Directorate, you will join a group of security experts focused on advancing the state of the art in AI security at a national and global scale.  Our tasks include vulnerability discovery and assessments for AI systems, evaluation of the effectiveness and robustness of defenses and mitigations for AI systems, reverse engineering AI systems and models, and identifying new areas where security research is needed. We participate in communities of network defenders, software developers and vendors, security researchers, AI practitioners, and policymakers. You'll get a chance to work with elite AI and cybersecurity professionals, university faculty, and government representatives to build new methodologies and technologies that will influence national AI security strategy for decades to come.

You will co-author research proposals, execute studies, and present findings and recommendations to our DoW sponsors, decision makers within government and industry, and at academic conferences. The SEI is a non-profit, federally funded research and development center (FFRDC) at Carnegie Mellon University.

What you’ll do:

• Develop state of the art approaches for analyzing robustness of AI systems.
• Apply these approaches to understanding vulnerabilities in AI systems and how attackers adapt their tradecraft to exploit those vulnerabilities.
• Reverse engineer malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and complex threats to AI systems and effectively participate in the broader security community.
• Study and influence the AI security and vulnerability disclosure ecosystems.
• Evaluate the effectiveness of tools, techniques and processes developed by industry and the AI security research community.
• Uncover and shape some of the fundamental assumptions underlying current best practice in AI security.
• Develop thought models, tools and data sets that can be used to characterize the threats to, and vulnerabilities in, AI systems, and publish those results. You will also use these results to aid in the testing, evaluation and transition of technologies developed by government-funded research programs.
• Identify opportunities to apply AI to improve existing cybersecurity research.

Who you are:

• You have BS in machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in the same fields with five (5) years of experience.
• You have a deep interest in AI/ML and cybersecurity with a penchant for intellectual curiosity and a desire to make an impact beyond your organization.
• You have practical experience with applying cybersecurity knowledge toward vulnerability research, analysis, disclosure, or mitigation.
• You have experience with advising on a range of security topics based on research and expert opinion.
• You have familiarity with implementing and applying AI/ML techniques to solving practical problems.
• You have familiarity with common AI/ML software packages and tools (e.g., Numpy, Pytorch, Tensorflow, ART).
• You have knowledge or familiarity with reverse engineering tools (e.g. NSA Ghidra, IDA Pro)
• You have experience with Python, C/C++, or low-level programming.
• You have experience developing frameworks, methodologies, or assessments to evaluate effectiveness and robustness of technologies.
• You have excellent communication skills (oral and written), particularly regarding technical communications with non-experts.
• You enjoy mentoring and cross-training others and sharing knowledge within the broader community.
• Candidates with strong technical proficiency in either AI/ML or cybersecurity are welcome to apply, provided a demonstrated intellectual agility and commitment required for accelerated learning within the role.

​

You are able to:

• Travel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%).
• You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance.

​

Why work here?

• Join a world-class organization that continues to have a significant impact on software.
• Work with cutting-edge technologies and dedicated experts to solve tough problems for the government and the nation.
• Be surrounded by friendly and knowledgeable staff with broad expertise across AI/ML, cybersecurity, software engineering, risk management, and policy creation.
• Get 8% monthly contribution for your retirement, without having to contribute yourself.
• Get tuition benefits to CMU and other institutions for you and your dependent children.
• Enjoy a healthy work/life balance with flexible work arrangements and paid parental and military leave.
• Enjoy annual professional development opportunities; attend conferences and training or obtain a certification and get reimbursed for membership in professional societies.
• Qualify for relocation assistance and so much more.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

SEI advances software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia, defense and government organizations, and industry to continually improve software-intensive systems. We deliver innovative technologies and solutions, collaborate on research in cybersecurity and artificial intelligence systems, and transition maturing technologies into practice.

Joining the SEI means becoming part of a world-class organization at the forefront of software engineering innovation. Our work has a profound impact on software systems across both government and industry. You'll collaborate with leading experts and work with cutting-edge technologies to tackle some of the nation's most complex and critical challenges.

Position Summary:

SEI is seeking an enthusiastic experienced senior real-time embedded engineer to work on safety-critical embedded software. You will work closely with a variety of software and hardware systems including bare-metal embedded systems, RTOSes, FPGAs, and embedded Linux. You will have opportunities to develop tools, techniques, and processes to solve some of the most difficult software problems that our government faces.

Who you are:

• You have a BS in Computer Science, Electrical Engineering, or related disciple with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR a PhD in the same fields with five (5) years of experience.

• You’ve worked in a collaborative team environment as a software developer, software engineer, verification engineer, or related field.

• You have proficiency in one or more of the following: C, C++, VHDL, Verilog, Python, C#.

• You’ve built, analyzed, debugged, and/or tested bare-metal systems and are familiar with a CMSIS/HAL/specific peripheral driver.

• You have experience in one or more of the following: Java, Go, Rust, Ada, MATLAB.

• You have experience with FPGAs and/or heterogenous computing boards that require communication and synchronization between specialized hardware/chips.

• You have exposure with modern RTOSes, e.g. VxWorks or Integrity, and developed and analyzed embedded software.

• You have worked with common embedded interfaces and protocols: I2C, CAN, SPI, RS-232, RS-422, etc.

• You’ve developed embedded software and performance tests and have experience interpreting the results.

• You have an understanding of the Department of War (DoW) Systems Engineering lifecycle.

• You have strong communication skills and the ability to convey difficult engineering or technical challenges to stakeholders.

• You are willing to work 100% of your week onsite at either the SEI or customer facility.

• You can pass a background check and obtain and maintain an active Department of War (DoW) security clearance.

• You have a willingness to travel (25%) outside of your office location to other SEI offices, sponsor sites, conferences, and offsite meetings.

What you’ll do:

• Understand complex, inter-dependent systems that hit multiple abstraction levels for embedded systems, interacting across a number of system interfaces.

• Design and develop embedded software tools and capabilities to analyze, test, and evaluate existing software.

• Apply systems engineering knowledge to identify and communicate weaknesses and flawed implementations of embedded functionality tracing from requirements.

• Utilize static analysis, dynamic testing, and complexity analysis tools to uncover software weaknesses, security vulnerabilities, and instances of poor engineering judgment, guiding a high-impact, safety-critical system toward robustness, reliability, and engineering soundness.

• Conduct research, experimentation, and present knowledge-sharing initiatives to enhance software development processes, demonstrate analytical capabilities, and foster a comprehensive understanding of system-of-systems (SoS) integration and performance.

What we offer you

Our benefits philosophy encompasses three driving priorities: choice, control, and well-being. Through Carnegie Mellon University, SEI offers a wide range of competitive employee benefits, including comprehensive health insurance, tuition benefits, generous time off, and a robust retirement savings policy to name a few.

• Join a world-class organization that has a significant impact on software.

• Work with cutting edge technologies and experts to solve tough problems for the government and the nation.

• Publish your research, attend or present at prestigious events, and enjoy annual professional development opportunities.

• Get an 8% monthly contribution for your retirement plan without having to contribute to it yourself.

• Get tuition benefits to attend classes at Carnegie Mellon University for you and your dependent children.

• Get access to university resources, including campus fitness facilities, mindfulness programs, childcare, free transportation on the Port Authority Transit System, and more.

• Enjoy paid parental and military leave.

• Work in the heart of Oakland, a few blocks from Carnegie Mellon University and the University of Pittsburgh.

• Qualify for relocation assistance and so much more.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

What We Do

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering challenges related to building, deploying, and sustaining AI-enabled systems for high-impact government missions.

The Frontier Lab advances AI engineering and transitions frontier AI capabilities to government stakeholders through applied research, rapid prototyping, short-cycle TEVV, and technical advisory.

Position Summary

As a Senior Machine Learning Research Scientist in the Frontier Lab, you will serve as a senior individual contributor and technical leader, shaping and executing applied research and prototype capability development for government and DoW missions. This role spans the research-engineering spectrum: some SR MLRS hires may lean more research-heavy and others more engineering-heavy, but successful candidates collaborate effectively across both.

You will operate with high autonomy, represent technical work with customers and stakeholders, and help guide Frontier Lab research direction—while remaining hands-on in development, evaluation, and delivery. Your work may span Frontier Lab focus areas such as:

• Agentic AI for mission workflows (e.g., planning, analysis, decision support) where autonomous and human-guided agents interact with tools, data systems, and operators.

• AI test, evaluation, verification, and validation (TEVV) to improve confidence in performance, robustness, uncertainty, and trustworthiness of ML-enabled systems.

• Mission-tailored language models, including techniques to improve accuracy and reliability, reduce hallucinations, and integrate structured knowledge for operational tasks.

• Mission modalities and multimodal learning, including sensor fusion and learning under noisy, sparse, or constrained data conditions (including synthetic data and weakly-/self-supervised approaches).

• AI at the tactical edge, enabling capability under constrained compute/connectivity through efficient inference, compression, rapid adaptation, and update/redeploy patterns.

Key Responsibilities / Duties

Senior MLRS staff are expected to operate with a high degree of autonomy and technical ownership while remaining hands-on in development, evaluation, and delivery.

• Mission-context execution: Execute work within the operational context—understanding users, workflows, constraints, success criteria, and outcomes—so technical decisions are grounded in real mission needs.

• Technical leadership / Tech lead: Lead technical execution by defining technical tasking, sequencing work into realistic milestones, maintaining delivery quality, and delegating appropriately across the team.

• Applied research and prototyping: Design and run studies, build convincing prototypes and reference implementations, and produce evidence-backed insights that can be matured and transitioned into operational settings.

• Evaluation, assurance, and evidence: Establish credible evaluation strategies and test pipelines that assess performance, robustness, reliability, and trustworthiness in mission-representative scenarios.

• Customer-facing technical ownership: Serve as the primary technical interface when appropriate; translate mission goals into measurable technical outcomes; communicate progress, decisions, and risks clearly to stakeholders.

• Mentorship and talent development: Proactively mentor junior staff and teammates, raising the bar for research rigor, engineering practice, and delivery habits across project teams.

• State-of-the-art awareness and agenda shaping: Maintain strong awareness of frontier developments aligned to the Frontier Lab, share insights with the lab, and help shape research directions and future work selection.

• Self-direction and time management: Manage multiple priorities effectively, sustain steady execution cadence, and resolve blockers with minimal oversight.

• Community building (internal and external): Build a strong research culture through internal talks, reading groups, and workshops; and engage with external AI/ML communities (professional societies, consortiums, working groups, and conferences) to strengthen collaboration pathways and keep the lab connected to emerging practice.

Requirements

• Education / Experience

• BS in Computer Science, Electrical Engineering, Statistics, or related field with 10 years of relevant experience; OR MS with 8 years of relevant experience; OR PhD with 5 years of relevant experience.

• Deep expertise in one or more Frontier Lab-aligned areas (agentic systems, LLM reliability/evaluation, CV evaluation, robustness/assurance, TEVV pipelines, multimodal learning, edge ML).

• Strong engineering capability – can build and maintain high-quality prototypes, evaluation infrastructure, and repeatable experimentation workflows.

• Strong written and verbal communication skills; able to represent technical work credibly to senior stakeholders.

• Demonstrated ability to lead technical workstreams and coordinate multi-person execution.

Knowledge, Skills, & Abilities (KSAs)

• Technical judgment: Makes sound architectural and methodological decisions; balances ambition with mission constraints.

• Customer translation: Converts mission needs into tractable technical plans, measurable success criteria, and credible evaluation evidence.

• Scientific leadership: Maintains rigor; identifies flawed assumptions; improves evaluation quality and research practices.

• Mentorship & influence: Elevates team performance through hands-on guidance and strong technical standards.

• Initiative: Proactively identifies risks/opportunities, proposes new work, and creates alignment without directive management.

• Self-direction and time management: Plans work effectively under ambiguity, maintains execution cadence, and escalates risks early.

Desired Experience

• Leading applied research projects resulting in effective prototypes, mission-relevant evaluation outcomes, or transitioned methods.

• Publications at strong venues (e.g., NeurIPS / ICLR / ICML, relevant workshops, MLCON), and/or demonstrable impact through applied research artifacts (benchmarks, evaluation suites, open-source, technical reports).

• Designing and operating TEVV efforts including evaluation pipelines, robustness analysis, calibration/uncertainty work, regression suites, and scenario-based evaluation protocols.

• Building agentic capabilities integrated with tools, data systems, and human workflows (decision support, planning, analytic contexts).

• Experience with secure or operational environments and delivery constraints typical of government settings.

• Experience shaping a technical roadmap or research portfolio aligned to sponsor priorities and lab strategy.

Other Requirements

• Flexible to travel to SEI offices in Pittsburgh, PA and Washington, DC / Arlington, VA, sponsor sites, conferences, and offsite meetings (~10% travel).

• You must be able and willing to work onsite at an SEI office in Pittsburgh, PA or Arlington, VA 5 days per week.

• You will be subject to a background investigation and must be eligible to obtain and maintain a Department of War) security clearance.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

About the role

The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. Our core purpose is to help organizations improve software engineering capabilities and develop or acquire the right software, defect free, within budget and on time, every time.  

The CERT Division of the Software Engineering Institute (SEI) is seeking an applicant for the role of a Reverse Engineer Researcher for the Threat Analysis directorate. The SEI is a federally funded research and development center at Carnegie Mellon University.

What you’ll do

• Reverse engineer malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and complex threats, and effectively participate in the broader security community.

• Perform in-depth reverse engineering of malicious code, document and transition results in reports, presentations, and technical exchanges.

• Explore ways to use artificial intelligence to support reverse engineering and apply reverse engineering practices to artificial intelligence systems.

• Design, prototype, and transition new analysis methods and tools.

• Identify and document emerging and complex active security threats.

• Participate in the broader security community through collaboration, papers, and presentations.

Who you are

• You have BS in Computer Science or related discipline with three (3) years of experience; OR MS in the same fields with one (1) year of experience.
• You enjoy working on emerging and complex malware analysis and reverse engineering problems.
• You have an analytical mindset and deep curiosity about how software works.
• You have the ability to balance rapid prototyping with maintainable tool development.
• You have technical writing experience.
• You recognize and deal appropriately with confidential and sensitive information.
• You are able to handle continual shifting priorities.
• You communicate effectively with technical and non-technical audiences.
• You have a willingness to travel to various locations to support the SEI’s overall mission. This includes sponsor sites, conferences, and offsite meetings on occasion. Moderate Travel (15%)
• You will be subject to a background check and obtain and maintain an active Department of War (DoW) security clearance

You have experience with or knowledge of

• Reverse engineering software binaries for a variety of architectures, both at the user level and kernel level

• Static analysis tools (e.g. IDA Pro, NSA Ghidra, Binary Ninja)

• User-level and kernel-level debuggers (e.g. x32dbg, x64dbg, gdb, WinDbg)

• Native programming languages (e.g. C/C++).

• High-level programming languages (e.g. Java, Python, GoLang, etc.)

• Software engineering and design concepts

• Firmware and device driver development

• Malware tradecraft and threat actor tactics, techniques, and procedures (TTPs)

• Malware signature creation and use, independent of detection technology

• Operating system concepts and internals and binary file formats (e.g. PE, ELF, Mach-O, etc.)

• Internet Protocols and network analysis tools (e.g. Wireshark, netcat, etc.)

• Compiler theory, cryptography, and malware deobfuscation techniques

• Mobile device development and reverse engineering

• Malware sandboxes or instrumentation frameworks (e.g., Frida, QEMU, Unicorn Engine)

• General understanding and experience in artificial intelligence and machine learning and using artificial intelligence to support reverse engineering and malware analysis

Why work here?

• Join a world-class organization that has significant impact on software
• Work with cutting edge technologies and experts to solve tough problems for the government and the nation
• Get 8% monthly contribution for your retirement, without having to contribute yourself
• Get tuition benefits to CMU and other institutions for you and your dependent children
• Enjoy a healthy work/life balance with flexible work arrangements and paid parental and military leave
• Get access to university resources including mindfulness programs, childcare and back-up care benefits, a monthly transit benefit on WMATA, free transportation on the Pittsburgh Regional Transit System
• Enjoy annual professional development opportunities; attend conferences and training or obtain a certification and get reimbursed for membership in professional societies
• Qualify for relocation assistance and so much more

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

What We Do:  

The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia, defense and government organizations, and industry to continually improve software-intensive systems. Our core purpose is to help organizations improve software engineering capabilities and develop or acquire the right software that is defect free, within budget and on time, every time.

Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you familiar with end-to-end software development activities and full-stack engineering? Apply to join our team.

Position Summary:

We are looking for a Software Development Technical Leader (Tech Lead) with expertise in C and C++ to lead one of our development teams in crafting high-performance software solutions. This role involves guiding the development process, designing robust architectures, developing prototypes, analyzing existing software artifacts and leading customer engagements. The ideal candidate will have significant experience in full software lifecycle development, the ability analyze source code and mentor others on the construction process.

Responsibilities:

• Lead software development projects from conception to deployment, focusing on C and C++ programming languages.
• Mentor junior team members in the construction of software applications, integration of numerous components, analysis, and testing.
• Create prototypes to explore new technologies and solutions, quickly turning concepts into viable products.
• Spearhead customer engagements to gather requirements, provide technical consultations, and ensure alignment with business goals.
• Mentor and lead a team of developers, fostering an environment of continuous improvement and innovation.
• Utilize static analysis tools to identify and rectify security vulnerabilities and code quality issues before deployment.
• Maintain up-to-date knowledge of industry trends, emerging technologies, and software development best practices.

Requirements, Knowledge, Skills and Abilities:

• BS with 10 years’ experience, MS with 8 years’ experience or PhD with 5 years’ experience in Computer Science, Electrical Engineering, or related field, with professional experience as a software developer, software engineer, verification engineer in a collaborative team environment.
• Proven experience in designing and implementing complex software architectures and systems.  The ability to identify, analyze, develop architecture drivers, tradeoffs, and extensibility is a must.
• Proficiency in the C, C++ software development languages.
• Proficiency in Python for developing analytics and analyzing data.
• Experience with developing embedded software, performance tests and interpreting the results.
• Experience with static analysis tools and techniques for improving code quality and security.
• Demonstrated ability to lead development projects and engage with customers technically.
• Excellent problem-solving skills, strong analytical abilities, and a detail-oriented mindset.
• Willingness to work with members of the US Military and other customers to achieve mission success.
• You are willing to work 100% of your week onsite at either an SEI or customer facility.
• Flexible to travel to other SEI offices, sponsor sites, conferences, and offsite meetings on occasion. Moderate (25%) travel outside of your home location.
• You will be subject to a background investigation and must be eligible to obtain and maintain a Department of War (DOW) security clearance.
• Active US Government Clearance is highly desirable.

Why work here?

• Join a world-class organization of National Security superheroes that have unrivaled impact on software, system, AI, and systemic vulnerabilities.
• Work with cutting edge technologies and experts to solve tough problems for the government and the nation.
• Get 8% monthly contribution for your retirement, without having to contribute yourself.
• Get tuition benefits to CMU and other institutions for you and your dependent children.
• Enjoy a healthy work/life balance with flexible work arrangements and paid parental and military leave.
• Get access to university resources including mindfulness programs, childcare and back-up care benefits.
• Enjoy annual professional development opportunities; take courses at CMU; attend conferences and training or obtain a certification and get reimbursed for membership in professional societies.
• Qualify for relocation assistance and so much more.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

Senior Machine Learning Engineer (Full‑Stack / Applied‑Research) – Mission Innovation Lab

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.

As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we

• build real-world, mission-scale AI capabilities through solving practical engineering problems

• discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities

• prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities

• identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape

Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.

Overview

As a Machine Learning Engineer who can take research ideas from concept to prototype, you will lead independent applied‑research projects for defense‑focused missions.

The ideal candidate is comfortable across the full stack (data pipelines, model development, API services, and secure deployment) and eager to explore novel AI and ML theory while delivering mission‑scale capabilities.

The Mission Innovation Lab within the SEI’s AI Division works with the defense and national security community to translate the “recently possible” in AI into reliable mission and warfighting capabilities.

Key Responsibilities

• Design, implement, and evaluate state‑of‑the‑art ML models (computer‑vision, NLP, planning, etc.) using frameworks such as TensorFlow, PyTorch, Torch, or Caffe.

• Build and maintain robust data pipelines, ETL processes, and backend services in Python, C/C++, and Java.

• Lead rapid‑prototyping efforts, translate research results into operational prototypes, and test for performance, robustness, and security.

• Define and refine DevSecOps practices for ML (model registries, containerized deployment, continuous integration/continuous delivery, security scanning).

• Mentor junior team members, collaborate with researchers, government customers, and other engineers, and contribute to technical strategy for the lab.

Required Qualifications

• B.S. in Computer Science, Electrical Engineering, Statistics, or related field with ≥10 years of experience ; OR M.S. with ≥8 years ; OR Ph.D. with ≥5 years of relevant experience.

• Ability to obtain and maintain an active Department of War security clearance.

• You must be able and willing to work onsite 5 days per week at an SEI office in either Pittsburgh, PA or Arlington, VA.

• Strong experience in one or more programming language such as Python, C/C++, and Java; comfortable developing production‑grade code and APIs.

• Solid understanding of ML theory, statistical learning, and common algorithms.

• Hands‑on experience with TensorFlow, PyTorch, Torch, Caffe, or similar deep‑learning libraries.

• Familiarity with CI/CD pipelines, container orchestration (Docker/Kubernetes), model versioning, and security‑focused tooling.

Desired Experience

• Proven track record of independent applied‑research projects that resulted in demonstrable prototypes or operational capabilities.

• Publications or open‑source contributions in AI and ML, especially in adversarial or robust ML.

• Experience working on defense or other high‑impact government programs.

• Ability to quickly learn emerging AI and ML technologies and translate them into mission‑relevant solutions.

Knowledge, Skills, & Abilities

• Deep technical knowledge of modern ML methods and ability to extend them to novel domains.

• Excellent written and verbal communication skills; capable of presenting complex ideas to technical and non‑technical audiences.

• Strong collaborative mindset; experience working in interdisciplinary teams and mentoring peers.

• High degree of scientific curiosity and a proactive, self‑directed work style.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

What We Do

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of Artificial Intelligence (AI) technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.

As our government customers adopt AI and machine learning (ML) to provide leap-ahead mission capabilities, we:

• build real-world, mission-scale AI capabilities through solving practical engineering problems.

• discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities.

• prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities.

• identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape.

Are you creative, curious, and collaborative? Do you enjoy doing meaningful and complex work? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team today!

Position Summary:

As a machine learning engineer in the AI for Autonomy Lab, you will identify, shape, apply, conduct, and lead engineering research that matches critical U.S. government needs. The AI for Autonomy Lab researches and demonstrates the application of AI-related technologies for improving the performance of autonomy systems.

Duties:

• Solution Development: You’ll work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.

• Hands-on Prototyping: You’ll conduct and lead novel prototyping in applied artificial intelligence with a focus on machine learning in autonomy and uncrewed systems (multi-domain).

• Strategy:You’ll work with AI Division leaders and colleagues to plan, develop, and carry out an overall research and engineering strategy, and to influence the national research and engineering agenda regarding future technology.

• Collaboration: You'll actively participate on teams of software developers, researchers, designers, and technical leads. You'll build relationships and collaborate with researchers, government customers, and other stakeholders to understand challenges, needs, possible solutions, and research and engineering directions.

• Mentoring: You'll contribute to improving the overall technical capabilities of the team by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI AI Division.

Requirements:

• BS in Computer Science or related discipline with eight (8) years of experience; MS in the same fields with five (5) years of experience; PhD in Computer Science with two (2) years of experience.

• You must be able and willing to work onsite at an SEI office in Pittsburgh, PA or Arlington, VA 5 days per week.

• Flexible to travel to other SEI offices, sponsor sites, conferences, and offsite meetings on occasion. Moderate (25%) travel outside of your home location.

• You will be subject to a background investigation and must be eligible to obtain and maintain a Department of War security clearance.

Knowledge, Skills, and Abilities:

• Deep Technical Knowledge: You have performed extensive research or engineering activities in applied machine learning and artificial intelligence. You have worked with tools, techniques, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision, or related areas. In addition, you have demonstrated applying systems engineering principles and collaborated across multi-disciplinary project teams. You have supported multiple phases of the engineering lifecycle and understand the requirements for successful deployment and operation of complex systems.

• Machine Learning: You have profound understanding of machine learning principles and have experience in applying machine learning techniques to real-world problems, showcasing a track record of successful implementations. You have designed and implemented complex machine learning functions and architectures tailored to specific autonomous systems. You are familiar with simulation environments and their role in training and testing machine learning models.

• Robotics & Autonomy: You have a strong understanding of robotics principles and design techniques for air, sea, or land-based vehicles. You have experience applying machine learning within these domains and understand the related implications and challenges. Your experience includes areas such as sensor fusion, navigation, object search/tracking, collision avoidance, multi-agent collaboration, and human-machine teaming.

• Test & Evaluation: You have designed and conducted test and evaluation activities for ML components to assess operational fit and readiness. You have experience working with model experimentation software, such as MLFlow or Weights & Biases for rigorous model development and selection.

• Applied Full-Stack Implementation: You have strong development experience and can design and implement software and systems resources for packaging and managing requirements for AI and ML prototypes. You frequently use tools like Docker to manage software resources and pipeline orchestration. You may have experience building applications in cloud platforms (Azure, AWS, Google Cloud Platform).

• Communication and Collaboration: You have strong written and verbal communication skills and can interact collaboratively and diplomatically with customers and colleagues. You grasp the big picture, direction, and goals of an effort while focusing great attention to detail. You can present complex ideas to people who may not have a deep understanding of the subject area.

• Dedication:You can meet deadlines while multi-tasking–sometimes under pressure and with shifting priorities.

• Creativity and Innovation: You are creative and curious, and you are inspired by the prospect of collaborating with premier members of the technical staff and other visionaries at Carnegie Mellon and other universities and organizations. You quickly learn new procedures, techniques, and approaches. You are forward-looking and can connect research and engineering with practical challenges.

• Knowledge and Learning: You possess broad technical interests along with a deep knowledge of a particular field such as machine learning, autonomy and adaptive systems, or data analytics.

Preferred Experience:

• Thought Leadership and Publications: You have a track record of synthesizing lessons learned from research or engineering activities for publication. You have a reputation for the highest level of research and engineering integrity. You have demonstrated contributions and have published research, code (e.g., models, data, software applications), or technical perspectives.

• Familiarity with Emerging Trends and Opportunities: You are familiar with technical challenges and emerging trends in computing and information science, and you are aware of opportunities in industry and government.

• Technical Leadership: You have led technical projects and have experience collaborating across research teams and mentoring other researchers.

• Proposals: You have formulated and delivered successful research and engineering proposals to funding agencies and led the resulting projects.

• Government Projects: You have worked or are familiar with Navy, Marine, Air Force, Army, Space Force, DARPA, IARPA, Service Labs, or other government research sponsors.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

As AI-enabled autonomous systems get closer to widespread deployment, fundamental research questions remain around their development and use, especially in high-stakes environments. How can we guarantee systems respond appropriately in critical scenarios? How can we employ collaborative autonomy to maximize mission objectives? What is the appropriate level of autonomy to enable a specific mission?

The AI for Autonomy Lab within the SEI’s AI Division is recruiting a Senior Autonomous Systems Research Scientist who has a passion for solving complex problems in real-world, mission-critical environments to tackle questions like these. The lab is focused on the lifecycle of AI-enabled autonomous systems, and helping our sponsors apply AI appropriately to increase system effectiveness without adding unacceptable risk.

Position Summary: As a Senior Autonomous Systems Research Scientist you will identify, lead, and conduct research in support of critical U.S. government needs.

The ideal candidate will have a strong background with hands-on experience solving problems in one or more of the following technology areas:

• Applied Machine Learning and AI:Research and implement machine learning principles, techniques, and architectures on autonomous systems in varying domains (e.g., air, sea, land).

• Assured Autonomy:Create tools and techniques for evaluating and explaining AI-enabled autonomous system performance.

• Collaborative Autonomy: Study AI approaches to motion planning, task planning, mission planning, and command and control to enable effective, resilient, and scalable teaming.

• Counter-Autonomy:Investigate system development approaches and methods for mitigating vulnerabilities associated with the inclusion of machine learning in autonomous systems.

• Modeling and Simulation:Use simulation to develop techniques for data-driven evaluation of real-world learning-based autonomous systems.

Duties:

• Hands-on Research:Lead novel research in applied machine learning and robotics.

• Solution Development: Lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.

• Collaboration: Actively participate with researchers, developers, engineers, designers, technical leads, campus labs, and our government customers to understand challenges, needs, and potential solutions.

• Mentoring:Mentor and teach junior staff, lead technical sessions, and contribute to the establishment of technical norms for the Lab.

• Intellectual Curiosity:Maintain awareness of the latest in AI-enabled autonomous systems, especially as it pertains to National Security use cases.

• Technical Communication: Develop and deliver compelling technical presentations for diverse audiences, tailor content for varied stakeholders, speak at conferences and workshops, and publish in pertinent peer-reviewed journals.

Knowledge, Skills, and Abilities

• A published track record of conducting machine learning and robotics research and applying scientific methods

• Experience leading research projects and collaborating across research teams and stakeholders

• Strong written and verbal communication skills; demonstrated ability to convey complex technical ideas to diverse audiences

• Experience writing and delivering successful research proposals to funding agencies and leading the resulting projects

• Experience with programming languages such as Python, C/C++, and other pertinent languages and frameworks

• Familiarity with state of practice, emerging trends and opportunities in industry and government

• Experience working with Department of War and Intelligence Community preferred

Requirements

• BS in Robotics, Computer Science, Machine Learning, Electrical Engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in the same fields with five (5) years of experience.

• You must be able and willing to work onsite at an SEI office in Pittsburgh, PA or Arlington, VA 5 days per week.

• Eligible to obtain and maintain a Department of War security clearance.

• Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Arlington, sponsor sites, conferences, and offsite meetings.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

About the role

The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. Our core purpose is to help organizations improve software engineering capabilities and develop or acquire the right software, defect free, within budget and on time, every time.  

The CERT Division of the Software Engineering Institute (SEI) is seeking an applicant for the role of a Reverse Engineer Researcher for the Threat Analysis directorate. The SEI is a federally funded research and development center at Carnegie Mellon University.

What you’ll do

• Reverse engineer malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and complex threats, and effectively participate in the broader security community

• Perform in-depth reverse engineering of malicious code, document and transition results in reports, presentations, and technical exchanges

• Explore ways to use artificial intelligence to support of reverse engineering and apply reverse engineering practices to artificial intelligence systems

• Design, prototype, and transition new analysis methods and tools

• Identify and document emerging and complex active security threats

• Participate in the broader security community through collaboration, papers, and presentations

Who you are

• You have BS in Computer Science or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR PhD in the same fields with two (2) years of experience.

• You enjoy working on emerging and complex malware analysis and reverse engineering problems.

• You have an analytical mindset and deep curiosity about how software works.

• You have the ability to balance rapid prototyping with maintainable tool development.

• You have strong technical writing experience.

• You recognize and deal appropriately with confidential and sensitive information.

• You are able to handle continual shifting priorities.

• You enjoy mentoring and training others as well as sharing knowledge.

• You communicate effectively with technical and non-technical audiences.

• You have a willingness to travel to various locations to support the SEI’s overall mission This includes sponsor sites, conferences, and offsite meetings on occasion. Moderate Travel (15%)

• You will be subject to a background check and obtain and maintain an active Department of War security clearance

You have experience with or knowledge of

• Reverse engineering software binaries for a variety of architectures, both at the user level and kernel level

• Static analysis tools (e.g. IDA Pro, NSA Ghidra, Binary Ninja)

• User-level and kernel-level debuggers (e.g. x32dbg, x64dbg, gdb, WinDbg)

• Native programminglanguages(e.g. C/C++).

• High-level programming languages (e.g. Java, Python, GoLang, etc.)

• Software engineering and design concepts

• Firmware and device driver development

• Malware tradecraft and threat actor tactics, techniques, and procedures (TTPs)

• Malware signature creation and use, independent of detection technology

• Operating system concepts and internals and binary file formats (e.g. PE, ELF, Mach-O, etc.)

• Internet Protocols and network analysis tools (e.g. Wireshark, netcat, etc.)

• Compiler theory, cryptography, and malware deobfuscation techniques.

• Mobile device development and reverse engineering

• Malware sandboxes or instrumentation frameworks (e.g., Frida, QEMU, Unicorn Engine).

• General understanding and experience in artificial intelligence and machine learning and using artificial intelligence to support reverse engineering and malware analysis

Why work here?

• Join a world-class organization that has significant impact on software

• Work with cutting edge technologies and experts to solve tough problems for the government and the nation

• Get 8% monthly contribution for your retirement, without having to contribute yourself

• Get tuition benefits to CMU and other institutions for you and your dependent children

• Enjoy a healthy work/life balance with flexible work arrangements and paid parental and military leave

• Get access to university resources including mindfulness programs, childcare and back-up care benefits, a monthly transit benefit on WMATA, free transportation on the Pittsburgh Regional Transit System

• Enjoy annual professional development opportunities; attend conferences and training or obtain a certification and get reimbursed for membership in professional societies

• Qualify for relocation assistance and so much more

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.

As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we

• build real-world, mission-scale AI capabilities through solving practical engineering problems

• discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities

• prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities

• identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape

Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.

Overview

As an AI Engineer who thrives at the intersection of deep‑learning research and production‑grade software development, you will translate cutting‑edge AI concepts into robust, mission‑scale solutions for the warfighting community. You will work comfortably with large‑scale foundation models such as GPT and LLaMA, designing and deploying agentic workflows, as well as apply and advance traditional ML research and engineering across domains such as natural language processing, computer vision, time series forecasting, and other predictive analytics. You will collaborate closely with senior researchers, software engineers, and government sponsors to define problem statements, iterate on experimental designs, and deliver secure, reliable AI capabilities that meet stringent mission requirements.

The Mission Innovation Lab within the SEI’s AI Division works with the defense and national security community to translate the “recently possible” in AI into reliable mission and warfighting capabilities.

Key Responsibilities

• Design, develop, and fine‑tune a variety of AI models.

• Design autonomous agents and multi‑step pipelines using LangChain, ReAct, tool‑calling, or custom orchestration; employ the Model Context protocol to manage stateful interactions.

• Build Retrieval‑Augmented Generation pipelines that combine external knowledge bases with LLMs to improve factual accuracy for warfighting applications.

• Implement end‑to‑end data pipelines, ETL processes, and back‑end services (Python, C/C++, Java) that feed data to models.

• Create CI/CD pipelines for model training, validation, containerized deployment (Docker/Kubernetes), and security scanning; maintain model registries, monitoring, and version control of context protocols.

• Produce rapid prototypes, run benchmarks, and conduct robustness/adversarial testing in realistic environments.

• Work closely with senior ML engineers, software developers, and government customers; mentor junior staff and contribute to design reviews and documentation.

• Stay current with emerging LLM architectures, agentic paradigms, PEFT/LoRA methods, and AI‑safety techniques; translate new research into operational capabilities.

Required Qualifications

• Bachelor’s degree in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field with at least four years of relevant experience (or an M.S. with two years).

• Ability to obtain and maintain an active Department of War (DoW) security clearance.

• You must be able and willing to work onsite 5 days per week at an SEI office in either Pittsburgh, PA or Arlington, VA.

• Proficiency in Python and at least one compiled language (C/C++ or Java); experience with REST/GraphQL APIs and containerization.

• Strong grasp of ML theory (supervised, unsupervised, reinforcement learning) and evaluation metrics.

• Hands‑on experience fine‑tuning LLMs and using frameworks such as Hugging Face Transformers, LangChain, or comparable agent tools.

• Familiarity with building RAG pipelines (vector stores, dense/sparse retrievers).

• Experience applying PEFT/LoRA methods (e.g., LoRA, adapters) to large models.

• Understanding of Model Context protocols for managing model state across multi‑turn interactions.

• Experience building evaluation frameworks, benchmarks, or data quality pipelines

• Experience with TensorFlow, PyTorch, or JAX; knowledge of data‑pipeline tools (Airflow, Prefect, Ray) is a plus.

• Awareness of DevSecOps practices (CI/CD, GitOps, container security scanning, model‑registry concepts) is desirable.

Desired Experience

• Deploying LLM APIs (FastAPI, gRPC) at scale, handling latency and load balancing.

• Building multi‑tool agents, planner‑executor loops, or tool‑calling pipelines for complex decision‑making.

• Conducting adversarial testing, implementing input sanitization, and contributing to AI‑safety research.

• Utilizing GPU/TPU resources, mixed‑precision training, and distributed training frameworks such as DeepSpeed or ZeRO.

• Prior work on defense, intelligence, or government‑focused AI projects and familiarity with DoW acquisition or compliance processes.

• Contributing to open‑source AI and ML libraries, agentic frameworks, or context‑protocol implementations.

Knowledge, Skills, & Abilities

• Analytical thinking: decompose complex AI problems into tractable components and iterate rapidly.

• Strong written and verbal communication skills for documenting designs and presenting results to technical and non‑technical stakeholders.

• Proven teamwork: collaborate in interdisciplinary groups, mentor peers, and contribute to shared codebases.

• High curiosity and autonomy: proactively explore emerging technologies and integrate them into mission work.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.

As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we

• build real-world, mission-scale AI capabilities through solving practical engineering problems

• discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities

• prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities

• identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape

Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.

Overview: As a Senior Machine Learning Engineer, you will specialize in engineering solutions that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities.

The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, the Secure AI Lab conducts and applies cutting-edge research to protect AI systems from adversaries who aim to manipulate the system to learn, do, or reveal something it isn’t supposed to.

The Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas:

• Counter AI Research:Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems.

• AI and ML Algorithm Defense Research:Create practical mitigations and defenses for observed attacks affecting AI and ML algorithms and evaluate the effectiveness of defensive techniques.

• Applied Adversarial Machine Learning:Advance the state of the art in adversarial machine learning by developing and transitioning capabilities to government sponsors.

As an engineer, you will solve problems for government sponsors by analyzing, designing, and building responsible AI systems.

Your day-to-day engineering tasks will include:

• Identifying and investigatingemerging AI and AI-adjacent technologies.

• Defining and refiningprocesses, practices, and tools for working with AI.

• Designing and building well-engineered prototypes of AI systems.

• Transitioning and providingguidance onAI capabilities to government sponsors.

Duties

• Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C++, and Java. You will build and work with data pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods.

• Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.

• Testing and evaluation. You'll conduct rapid prototyping to demonstrate and evaluate technologies in relevant environments. You'll evaluate systems for performance and security. You'll test capabilities using novel testing and analysis techniques.

• Collaboration.You'll actively participate on teams of developers, researchers, designers, and technical leads. You'll collaborate with researchers and our government customers to understand challenges, needs, and possible solutions.

• Mentoring. You'll contribute to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI.

Knowledge and Experience

• Comprehensive knowledge of machine learning; previous experience in adversarial machine learning desirable but not required

• A track record of using well-established engineering practices to solve difficult problems

• An understanding of how to convert research results into functioning prototypes or capabilities

• Experience leading technical projects in novel areas with limited previous work to build upon

• Strong written and verbal communication skills; able to convey complex technical ideas in a layperson’s terms

• Ample experience with publishing written or technical artifacts showcasing your work

• Strong collaboration skills for working with colleagues and sponsors

• Willingness to guide and mentor junior team members

Requirements

• A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD with five (5) years of experience.

• Willingness to work onsite 5 days per week at SEI offices in Pittsburgh, PA or Arlington, VA.

• Be able to obtain and maintain an active Department of War security clearance.

• Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.

As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we

• build real-world, mission-scale AI capabilities through solving practical engineering problems

• discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities

• prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities

• identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape

Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.

Overview: As a Senior Machine Learning Research Scientist, you will specialize in conducting research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities.

The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, the Secure AI Lab conducts and applies cutting-edge research to protect AI systems from adversaries who aim to manipulate the system to learn, do, or reveal something it isn’t supposed to.

The Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas:

• Counter AI Research:Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems.

• AI and ML Algorithm Defense Research:Create practical mitigations and defenses for observed attacks affecting AI and ML algorithms and evaluate the effectiveness of defensive techniques.

• Applied Adversarial Machine Learning:Advance the state of the art in adversarial machine learning by developing and transitioning capabilities to government sponsors.

Your day-to-day research tasks will include:

• Identifying and investigatingemerging AI and AI-adjacent technologies.

• Performing and publishingimpactful original research in the field of AI and ML algorithm vulnerabilities and securing against those vulnerabilities.

• Adapting and applyingexisting research in the field to solve real-world problems.

• Transitioning and providing guidance onAI capabilities to government sponsors.

Duties:

• Hands-on research:You’ll conduct and lead novel research in applied machine learning and artificial intelligence.

• Solution development: You’ll work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.

• Strategy: You’ll work with the leadership team and colleagues to plan, develop, and carry out an overall research strategy, and to influence the national research agenda regarding future technology.

• Collaboration: You'll actively participate on teams of software developers, researchers, designers, and technical leads. You'll build relationships and collaborate with researchers, government customers, and other stakeholders to understand challenges, needs, possible solutions, and research directions.

• Mentoring: You'll contribute to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI AI Division.

Knowledge and Experience

• Comprehensive knowledge of machine learning; previous experience in adversarial machine learning preferred but not required

• A track record of conducting research and applying scientific methods to solve difficult problems

• Experience leading research projects in novel areas with limited previous work to build upon

• Ability to work with leadership to plan, develop, and deliver an overall research strategy

• Strong written and verbal communication skills; ability to convey complex technical ideas in a layperson’s terms

• Proficiency in writing funding proposals or pitching ideas for new research projects

• Ample experience with publishing written or technical artifacts showcasing your work

• Strong collaboration skills for working with colleagues and sponsors

• Willingness to guide and mentor junior team members

Requirements

• A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD with five (5) years of experience

• Willingness to work onsite at an SEI facility 5 days per week.

• Be able to obtain and maintain an active Department of War security clearance.

• Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

At the National Robotics Engineering Center (NREC), it is our engineers and technicians who drive the breakthroughs that define our success. The members of our technical staff collaborates closely with leadership and multidisciplinary teams to design, build, and deploy sophisticated robotic solutions that address complex challenges in industrial, commercial and government sectors. Each project benefits from their expertise, creativity, and hands-on problem-solving, fueling progress and innovation across the organization.

As part of our dedicated team, you will work alongside world-class robotics professionals committed to pushing the boundaries of technology and redefining ideas into solutions for real-world applications. We foster a culture of professionalism, respect, and collaboration, offering a flexible and encouraging environment where you can sharpen your skills, lead impactful projects, and take control of your career development.

We are seeking a dynamic Senior Full Stack Software Engineer to lead and contribute to the design and delivery of scalable, end-to-end software solutions that power data-driven robotics applications. This is an exciting opportunity for someone who thrives in a fast-paced and innovative setting. In this role, you will be instrumental in advancing the department’s initiatives to develop cutting-edge robotics software, streamline data-driven workflows, and deliver scalable, high-impact solutions, while ensuring the team delivers exceptional and ground breaking results.

Your primary responsibilities include:

• Owning end‑to‑end development of features across the backend, frontend, and data layers
• Building reliable, scalable backend services that power core product capabilities
• Designing and maintaining data systems that support both structured and unstructured information
• Crafting polished, responsive user interfaces using modern frontend approaches
• Shaping intuitive user experiences through thoughtful design and usability principles
• Translating user feedback, product insights, and analytics into product improvements
• Collaborating closely with a multi-functional team to deliver cohesive, high‑impact features
• Developing interactive data visualizations and exploration tools that help users make sense of complex information
• Participating in architectural decisions and influencing long‑term technical direction
• Maintaining strong engineering standards through testing, documentation, and code review
• Diagnosing and resolving issues across the full stack to ensure a smooth, reliable user experience
• Supporting a team culture that values learning, knowledge‑sharing, and supportive collaboration

Required Qualifications:

• Bachelor’s degree or equivalent experience in Computer Science, Engineering, Mathematics, or a related technical field
• 4+ years of professional experience developing full‑stack applications
• Experience working in Linux‑based development environments
• Solid understanding of core software engineering principles, patterns, and protocols
• Proficiency in modern backend and frontend programming languages; Python experience strongly preferred to ensure alignment with the team’s existing stack
• Hands‑on experience with both relational and non‑relational data systems, including data versioning or related tooling
• Proficiency with contemporary web application frameworks
• Experience designing and implementing database architectures
• Ability to translate product requirements and user feedback into thoughtful technical solutions
• Clear, effective technical communication skills
• Ability to collaborate with experts within a multidisciplinary team, including product managers, software architects, data engineers, and other developers
• Ability to work independently, ask questions and seek input when needed
• Commitment to a respectful and supportive team environment

We especially want to hear from you if you have experience or qualifications in ANY of the following areas:

• Experience with data orchestration or workflow tools
• Familiarity with software security concepts such as authentication, authorization, and endpoint protection
• Exposure to cloud platforms or distributed computing environments
• Data processing workflows (pre‑processing, augmentation, post‑processing) experience
• Background in building tools or interfaces for data exploration or analytics
• Interest in mentoring or supporting teammates as the team grows

Other Requirements:

• Successful pre-employment background check
• Travel Requirements: You should be able to travel domestically and be willing to work outside of normal business hours as needed

This position will require work on a variety of projects, including projects that involve military/defense applications and/or are funded by military/defense sponsors.

Are you interested in joining our versatile team at NREC where you will have a direct impact on operations and meaningful projects?

Join a collaborative environment where your hands-on skills, leadership, and mentorship will directly influence operations and inspire the next generation of innovators.

Why NREC?

At NREC, you will shape the robotics revolution by tackling real-world challenges in agriculture, manufacturing, defense, energy, and much more. You will work alongside top robotics experts, develop ground breaking technologies, and see your solutions deployed in the field.

NREC at a Glance:

• Located in Pittsburgh or “Roboburgh”, a hub for over 120+ robotics companies
• 30+ years of pioneering robotics research
• 150+ professionals driving innovation and real-world impact
• Part of Carnegie Mellon University’s Robotics Institute, a global leader in robotics

NREC also leads in educational outreach through its Robotics Academy which develops curricula and software for K–12 and college-level students. You will also have opportunities to engage with these student groups through outreach activities.

As part of our team, you will have the flexibility to grow your career - whether becoming a technical expert, leading projects, mentoring others, or exploring new pathways and making an impact in developing technologies that drive progress, improve safety and transform industries.

Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

About the role

The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. Our core purpose is to help organizations improve software engineering capabilities and develop or acquire the right software, defect free, within budget and on time, every time. 

The CERT Division of the Software Engineering Institute (SEI) is seeking an applicant for the role of a Senior Reverse Engineer Researcher for the Threat Analysis directorate. The SEI is a federally funded research and development center at Carnegie Mellon University.  

What you’ll do

• Reverse engineer malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and complex threats, and effectively participate in the broader security community
• Perform in-depth reverse engineering of malicious code, document and transition results in reports, presentations, and technical exchanges
• Explore ways to use artificial intelligence to support reverse engineering and apply reverse engineering practices to artificial intelligence systems
• Design, prototype, and transition new analysis methods and tools
• Identify and document emerging and complex active security threats
• Participate in the broader security community through collaboration, papers, and presentations

Who you are

• You have BS in Computer Science or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in the same fields with five (5) years of experience.
• You enjoy working on emerging and complex malware analysis and reverse engineering problems.
• You have an analytical mindset and deep curiosity about how software works.
• You have the ability to balance rapid prototyping with maintainable tool development.
• You have strong technical writing experience.
• You recognize and deal appropriately with confidential and sensitive information.
• You are able to handle continual shifting priorities.
• You enjoy mentoring and training others as well as sharing knowledge.
• You communicate effectively with technical and non-technical audiences.
• You have a willingness to travel to various locations to support the SEI’s overall mission This includes sponsor sites, conferences, and offsite meetings on occasion. Moderate Travel (15%)
• You will be subject to a background check and obtain and maintain an active Department of War (DoW) security clearance.

You have experience with or knowledge of

• Reverse engineering software binaries for a variety of architectures, both at the user level and kernel level
• Static analysis tools (e.g. IDA Pro, NSA Ghidra, Binary Ninja)
• User-level and kernel-level debuggers (e.g. x32dbg, x64dbg, gdb, WinDbg)
• Native programming languages (e.g. C/C++).
• High-level programming languages (e.g. Java, Python, GoLang, etc.)
• Software engineering and design concepts
• Firmware and device driver development
• Malware tradecraft and threat actor tactics, techniques, and procedures (TTPs)
• Malware signature creation and use, independent of detection technology
• Operating system concepts and internals and binary file formats (e.g. PE, ELF, Mach-O, etc.)
• Internet Protocols and network analysis tools (e.g. Wireshark, netcat, etc.)
• Compiler theory, cryptography, and malware deobfuscation techniques.
• Mobile device development and reverse engineering
• Malware sandboxes or instrumentation frameworks (e.g., Frida, QEMU, Unicorn Engine).
• General understanding and experience in artificial intelligence and machine learning and using artificial intelligence to support reverse engineering and malware analysis

Why work here?

• Join a world-class organization that has significant impact on software
• Work with cutting edge technologies and experts to solve tough problems for the government and the nation
• Get 8% monthly contribution for your retirement, without having to contribute yourself
• Get tuition benefits to CMU and other institutions for you and your dependent children
• Enjoy a healthy work/life balance with flexible work arrangements and paid parental and military leave
• Get access to university resources including mindfulness programs, childcare and back-up care benefits, a monthly transit benefit on WMATA, free transportation on the Pittsburgh Regional Transit System
• Enjoy annual professional development opportunities; attend conferences and training or obtain a certification and get reimbursed for membership in professional societies
• Qualify for relocation assistance and so much more

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

The SEI CERT Cyber Risk and Resilience Directorate, enables organizations to achieve operational resilience by performing research in emerging areas of operational risk, producing measurement and assessment tools that help organizations better understand their current risk and resilience posture, and developing and validating models, frameworks, and tools to drive quantifiable  risk reduction. Our Cyber Risk Management team focuses on designing, prototyping, transitioning risk management novel methods. We support partners in government and industry in achieving cyber-dependent missions. .

Job Description Summary

The individual in this position will work as a technical manager of the Cyber Risk Management  (CRM) Team within CERT’s Cyber Risk & Resilience Directorate. This candidate will be responsible for the creation, development and management of a sustained applied research and technical agenda for Risk & Resilience CRM Team consistent with and directly supporting the US Department of War’s strategic challenges and emerging threats. The technical manager is responsible for developing and communicating technical vision, developing tasking, creating  project work statements, developing and managing project plans, managing initiative finances and accounting, generating new work and customers, working with business development staff, executing work with high degree of customer satisfaction, and supervising staff.

The successful candidate must have proven experience conducting and leading technical efforts in support of the US Federal Government (USG) and Department of War (DOW); managing technical teams; be self-directed, have a track record of creating interdisciplinary approaches to problem solving, and demonstrate exceptionally strong presentation and writing skills. The candidate must also be able to interact with clients and staff of all levels in a highly professional and competent manner.

Minimum Qualifications and Requirements

Education/Training:

• BS in risk management, cybersecurity, information systems, economics, mathematics or a related technical field; advanced degree strongly preferred.

Other educational backgrounds of a technical nature with significant relevant experience as described may be considered.

Experience:
Total of ten (10) years of experience as an enterprise risk executive, enterprise risk manager, primary investigator engaged in risk management research or similarly technical occupation.

Experience and expert knowledge of:
• risk quantification tools and techniques
• risk management frameworks/model/standards of practice
• risk governance   

Experience with and substantial knowledge of:

• network architectures, and telecommunications

• cybersecurity and operational resilience

• information security models, frameworks, and metrics

• foundational artificial intelligence concepts and techniques

• project planning and financial management

• strategic planning and product development

• USG and DoW risk tools, techniques, and methods

• USG and DoW risk management strategies, policies, and directives

Skills/Abilities:
• mastery of risk management concepts, cyber security best practices and standards, information security and risk evaluation methods, development

• excellent analytical, organizational, reasoning and problem-solving skills

• outstanding written and oral communication skills

• demonstrated ability and experience in employee performance management

• outstanding financial and resource management skills

• demonstrated ability to prepare papers and deliver presentations for technical and non-technical audiences

• demonstrated experience in developing a strategic plan and associated technical agenda

• demonstrated experience in developing products and transition (go-to-market)

• ability to interact effectively with diverse constituencies internally and externally, including senior executives and managers in government and industry

• ability to recognize and deal appropriately with confidential and sensitive information, and where appropriate, ability to obtain and hold a security clearance

• active involvement in professional societies

Preferred Qualifications:

RIMS-Certified Risk Management Professional (preferred)

Certified Enterprise Risk Manager (preferred)

Certified Information Systems Security Professional (preferred)

Certified Information Security Manager (preferred)

Certified Information Systems Auditor (preferred)

Other: You will be subject to a background investigation, and you must have the ability to obtain and maintain a Department of War security clearance.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

At the National Robotics Engineering Center (NREC), it is our engineers and technicians who drive the breakthroughs that define our success. Our technical staff collaborates closely with leadership and multidisciplinary teams to design, build, and deploy sophisticated robotic solutions that address complex challenges in industrial, commercial and government sectors. Each project benefits from their expertise, creativity, and hands-on problem-solving, fueling progress and innovation across the organization.

As part of our dedicated team, you will work alongside world-class robotics professionals committed to pushing the boundaries of technology and redefining ideas into solutions for real-world applications. We foster a culture of professionalism, respect, and collaboration, offering a flexible and encouraging environment where you can sharpen your skills, lead impactful projects, and take control of your career development.

We are seeking a motivated roboticist to help develop and deploy the next generation of mobile manipulation systems for real-world applications. You’ll bridge research and industry by transforming advanced robotic concepts into robust, production-ready technologies. The work emphasizes hands-on development, integration, and deployment of systems that combine perception, planning, and control to address impactful challenges in areas including logistics, manufacturing, and automated science. If you’re passionate about building real robots that make a measurable difference in the world, we’d love to hear from you.

Your primary responsibilities are:

• Developing algorithms for perception-aided control of manipulators on mobile robots for real world applications
• Prototyping in scripting languages
• Transitioning applications to deployment with production quality code
• Designing, developing, documenting, testing, troubleshooting, and maintaining software applications and integrated systems
• Interacting with sponsors for planning, application support, and reporting purposes
• Surveying literature and implementing innovative techniques to take on exciting problems
• Following protocols for team software development (peer reviews of designs and code, unit and system testing, version control, bug tracking, integrated documentation)
• Developing, documenting, and applying software system testing, troubleshooting, and verification procedures
• Collaboration with engineers with varied skills, including communication, co-design, and joint decision making

Required Qualifications:

• B.S. in Computer Science, Engineering, Mathematics or equivalent experience (M.S. or PhD is a bonus).
• 1-3 years combined graduate academic and professional software development experience
• Experience with 3D perception (LiDAR, stereo vision, RGB-D, point cloud processing)
• Knowledge of kinematics, dynamics, and control of manipulators
• Strong background in at least one of
• Motion planning (MoveIt, OMPL, RRT*, etc.)
• Grasp/manipulation planning or whole-body control
• Strong C++ skills
• Experience with scripting languages for quick prototyping of computer vision applications (Python or Matlab preferred)
• Linux development experience
• Knowledge of basic software engineering principles
• Technical communication skill
• Demonstrated success collaborating alongside a multi-functional team

We especially want to hear from you if you have experience or qualifications in any of the following areas:

• Sensor and robot calibration (stereo, hand-eye, multi-modal)
• Visual sensing
• Robot navigation, field robotics
• Reinforcement learning, imitation learning, or foundation models for robotics
• Visual/inertial odometry, mapping, or SLAM
• Familiarity with Gazebo, Isaac Sim, or Mujoco for simulation
• Knowledge of real-time control
• Real-world deployment, systems engineering
• Embedded systems or real time application development
• C++ Libraries such as OpenCV, PCL, ROS, Boost, Eigen
• CUDA programming

Other Requirements:

Successful pre-employment background check

This position will require work on a variety of projects, including projects that involve military/defense applications and/or are funded by military/defense sponsors.

Are you interested in joining our versatile team at NREC where you will have a direct impact on operations and meaningful projects?

Join a collaborative environment where your hands-on skills, leadership, and mentorship will directly influence operations and inspire the next generation of innovators.

Why NREC?

At NREC, you will shape the robotics revolution by tackling real-world challenges in agriculture, manufacturing, defense, energy, and much more. You will work alongside top robotics experts, develop ground breaking technologies, and see your solutions deployed in the field.

NREC at a Glance:

• Located in Pittsburgh or “Roboburgh”, a hub for over 120+ robotics companies
• 30+ years of pioneering robotics research
• 150+ professionals driving innovation and real-world impact
• Part of Carnegie Mellon University’s Robotics Institute, a global leader in robotics

NREC also leads in educational outreach through its Robotics Academy, which develops curricula and software for K–12 and college-level students. You will also have opportunities to engage with these student groups through outreach activities.

As part of our team, you will have the flexibility to grow your career - whether becoming a technical expert, leading projects, mentoring others, or exploring new pathways and making an impact in developing technologies that drive progress, improve safety and transform industries.

Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Engineering, Research and Project Scientists

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

Are you a cybersecurity and/or AI researcher who enjoys a challenge? Are you excited about pioneering new research areas that will impact academia, industry, and national security? If so, we want you for our team, where you’ll collaborate to deliver high-quality results in the emerging area of AI security.

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the AI Security Researcher role. Originally created in response to one of the first computer viruses -- the Morris worm – in 1988, CERT has remained a leader in cybersecurity research, improving the robustness of software systems, and in responding to sophisticated cybersecurity threats.  Ensuring the robustness and security of AI systems is the next big challenge on the horizon, and we are seeking life-long learners in the fields of cybersecurity, AI/ML, or related areas, who are willing to cross-train to address AI Security.

As part of the Threat Analysis Directorate, you will join a group of security experts focused on advancing the state of the art in AI security at a national and global scale.  Our tasks include vulnerability discovery and assessments for AI systems, evaluation of the effectiveness and robustness of defenses and mitigations for AI systems, reverse engineering AI systems and models, and identifying new areas where security research is needed. We participate in communities of network defenders, software developers and vendors, security researchers, AI practitioners, and policymakers. You'll get a chance to work with elite AI and cybersecurity professionals, university faculty, and government representatives to build new methodologies and technologies that will influence national AI security strategy for decades to come.

You will co-author research proposals, execute studies, and present findings and recommendations to our DoW sponsors, decision makers within government and industry, and at academic conferences. The SEI is a non-profit, federally funded research and development center (FFRDC) at Carnegie Mellon University.

What you’ll do:

• Develop state of the art approaches for analyzing robustness of AI systems.
• Apply these approaches to understanding vulnerabilities in AI systems and how attackers adapt their tradecraft to exploit those vulnerabilities.
• Reverse engineer malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and complex threats to AI systems and effectively participate in the broader security community.
• Study and influence the AI security and vulnerability disclosure ecosystems.
• Evaluate the effectiveness of tools, techniques and processes developed by industry and the AI security research community.
• Uncover and shape some of the fundamental assumptions underlying current best practice in AI security.
• Develop thought models, tools and data sets that can be used to characterize the threats to, and vulnerabilities in, AI systems, and publish those results. You will also use these results to aid in the testing, evaluation and transition of technologies developed by government-funded research programs.
• Identify opportunities to apply AI to improve existing cybersecurity research.

Who you are:

• You have BS in machine learning, cybersecurity, statistics, or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR PhD in the same fields with two (2) years of experience.
• You have a deep interest in AI/ML and cybersecurity with a penchant for intellectual curiosity and a desire to make an impact beyond your organization.
• You have practical experience with applying cybersecurity knowledge toward vulnerability research, analysis, disclosure, or mitigation.
• You have experience with advising on a range of security topics based on research and expert opinion.
• You have familiarity with implementing and applying AI/ML techniques to solving practical problems.
• You have familiarity with common AI/ML software packages and tools (e.g., Numpy, Pytorch, Tensorflow, ART).
• You have knowledge or familiarity with reverse engineering tools (e.g. NSA Ghidra, IDA Pro)
• You have experience with Python, C/C++, or low-level programming.
• You have experience developing frameworks, methodologies, or assessments to evaluate effectiveness and robustness of technologies.
• You have excellent communication skills (oral and written), particularly regarding technical communications with non-experts.
• You enjoy mentoring and cross-training others and sharing knowledge within the broader community.
• Candidates with strong technical proficiency in either AI/ML or cybersecurity are welcome to apply, provided a demonstrated intellectual agility and commitment required for accelerated learning within the role.

​

You are able to:

• Travel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%).
• You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance.

​

Why work here?

• Join a world-class organization that continues to have a significant impact on software.
• Work with cutting-edge technologies and dedicated experts to solve tough problems for the government and the nation.
• Be surrounded by friendly and knowledgeable staff with broad expertise across AI/ML, cybersecurity, software engineering, risk management, and policy creation.
• Get 8% monthly contribution for your retirement, without having to contribute yourself.
• Get tuition benefits to CMU and other institutions for you and your dependent children.
• Enjoy a healthy work/life balance with flexible work arrangements and paid parental and military leave.
• Enjoy annual professional development opportunities; attend conferences and training or obtain a certification and get reimbursed for membership in professional societies.
• Qualify for relocation assistance and so much more.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

At the National Robotics Engineering Center (NREC), it is our engineers and technicians who drive the breakthroughs that define our success. The members of our technical staff collaborates closely with leadership and multidisciplinary teams to design, build, and deploy sophisticated robotic solutions that address complex challenges in industrial, commercial and government sectors. Each project benefits from their expertise, creativity, and hands-on problem-solving, fueling progress and innovation across the organization.

As part of our dedicated team, you will work alongside world-class robotics professionals committed to pushing the boundaries of technology and redefining ideas into solutions for real-world applications. We foster a culture of professionalism, respect, and collaboration, offering a flexible and encouraging environment where you can sharpen your skills, lead impactful projects, and take control of your career development.

We are seeking a dynamic Senior Windows Software Engineer to lead and contribute to the design, development, and integration of Windows-based software systems that interface with laboratory instruments supporting advanced robotics technologies. This is an exciting opportunity for someone who thrives in a fast-paced and innovative setting. In this role, you will be instrumental in advancing key initiatives focused on scalable software architectures, instrument integration, and the development of high-impact robotics technologies while ensuring the team delivers exceptional and ground breaking results.

Your primary responsibilities are:

• Developing Windows‑based applications and services that interface directly with laboratory instruments
• Building and maintaining software layers that expose instrument protocols, functions, and operations to the broader system
• Integrating with a variety of communication standards, including Modbus/TCP, Ethernet/IP, and EtherCAT
• Working with both modern and legacy codebases, including reverse‑engineering or refactoring older components when necessary
• Collaborating with scientists, engineers, and product teams to understand instrument behavior and translate it into robust software interfaces
• Diagnosing hardware/software integration issues and develop reliable, repeatable solutions
• Writing clean, maintainable code and contributing to long‑term architecture decisions
• Participating in testing, validation, and documentation to ensure high‑quality instrument integrations
• Learning and applying scientific concepts relevant to instrument operation, with support from domain experts
• Supporting a team culture that values curiosity, knowledge‑sharing, and supportive collaboration

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Physics, or a related technical field
• At least 3 years of experience developing Windows applications or services using .NET/C#
• Familiarity with C++ and Python for tooling, integration, or performance‑critical components
• Experience working with industrial or hardware‑communication protocols (e.g., Modbus/TCP, Ethernet/IP, EtherCAT); deep expertise not required - willingness to learn is valued
• Ability to work with and modernize legacy codebases when needed
• Strong debugging skills across software, hardware interfaces, and network communication layers
• Clear, effective technical communication skills
• Ability to collaborate with experts within a multidisciplinary team, including scientists, hardware engineers, and software developers
• Interest in learning scientific concepts and how instruments operate at a functional level
• Ability to work independently, ask questions and seek input when needed
• Commitment to a respectful and supportive team environment

We especially want to hear from you if you have experience or qualifications in ANY of the following areas:

• Experience with instrument control, automation systems, or lab equipment
• Familiarity with serial communication, device drivers, or low‑level hardware interfaces
• Exposure to real‑time systems or deterministic communication protocols
• Experience writing APIs or SDKs for hardware devices
• Background in scientific computing, laboratory workflows, or experimental systems
• Interest in monitoring or supporting teammates as the team grows

Other Requirements:

• Successful pre-employment background check
• Travel Requirements: You should be able to travel domestically and be willing to work outside of normal business hours as needed

This position will require work on a variety of projects, including projects that involve military/defense applications and/or are funded by military/defense sponsors.

Are you interested in joining our versatile team at NREC where you will have a direct impact on operations and meaningful projects?

Join a collaborative environment where your hands-on skills, leadership, and mentorship will directly influence operations and inspire the next generation of innovators.

Why NREC?

At NREC, you will shape the robotics revolution by tackling real-world challenges in agriculture, manufacturing, defense, energy, and much more. You will work alongside top robotics experts, develop ground breaking technologies, and see your solutions deployed in the field.

NREC at a Glance:

• Located in Pittsburgh or “Roboburgh”, a hub for over 120+ robotics companies
• 30+ years of pioneering robotics research
• 150+ professionals driving innovation and real-world impact
• Part of Carnegie Mellon University’s Robotics Institute, a global leader in robotics

NREC also leads in educational outreach through its Robotics Academy, which develops curricula and software for K–12 and college-level students. You will also have opportunities to engage with these student groups through outreach activities.

As part of our team, you will have the flexibility to grow your career - whether becoming a technical expert, leading projects, mentoring others, or exploring new pathways and making an impact in developing technologies that drive progress, improve safety and transform industries.

Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance