ROLE SUMMARY 

Pfizer is committed to the application of computational science in the areas of drug discovery and development and has recently initiated a large-scale migration of computational infrastructure to cloud. This role leverages extensive experience in scientific computing to deliver robust high-performance solutions supporting computational workloads across the organization.   

We are seeking an experienced individual contributor to own project migrations, user support, onboarding, documentation, communication, and training efforts related to the High-Performance Computing (HPC) environment. You will work with a team of engineers to ensure robust, scalable, high-performance cloud native infrastructure that underpins modernization of the scientific computing platform.  You will be the primary bridge between our R&D scientists and cloud infrastructure. 

Critical business capabilities that utilize Pfizer HPC resources include in silico drug discovery, protein folding/structure prediction, quantum chemistry, bioinformatics, pharmacokinetics and pharmacodynamics (PK/PD) modeling, ML/AI, and fluid dynamics.  Experience in one or more of these scientific domains is highly desirable.   

ROLE RESPONSIBILITIES  

• Lead solution design and migration strategy for R&D teams transitioning legacy scientific workloads to cloud based HPC platforms, ensuring alignment with performance, scalability, security, and cost objectives.
• Partner with scientific stakeholders to translate research needs into platform level infrastructure requirements, providing senior technical guidance on compute, storage, and parallelization approaches.
• Serve as the senior technical authority for complex HPC operational issues, defining troubleshooting frameworks, escalation paths, and long term remediation strategies for scheduler, dependency, and workflow failures.
• Own the strategy, quality, and governance of HPC documentation and knowledge assets, ensuring documentation remains accurate, accessible, and aligned with platform standards, onboarding needs, and evolving best practices.
• Lead platform level communications and stakeholder engagement related to HPC operations, including maintenance, capacity changes, and upgrades, ensuring transparency, predictability, and minimal disruption to scientific workloads.
• Define and oversee user enablement and training strategy for HPC platforms, ensuring researchers are equipped to use cloud resources efficiently, responsibly, and in accordance with platform best practices.
• Own the end to end lifecycle strategy for scientific software platforms, including selection, deployment models, upgrade planning, and deprecation, to ensure reliability, reproducibility, and broad usability across research domains.
• Establish containerization standards and adoption models for scientific workflows, overseeing the transition of complex applications to container based execution environments and ensuring consistency across teams and platforms.
• Set and govern application performance optimization standards across cloud instance types, guiding workload placement decisions to maximize performance, scalability, and cost efficiency.

BASIC QUALIFICATIONS 

• B.S. with 7+ years or Ph.D. with 3+ years of experience in high performance computing, cloud computing, and life sciences.

• Deep Linux systems expertise supporting the design, standardization, automation, and reliable operation of scientific computing platforms and services.

• Excellent written and verbal communication skills with the ability to clearly communicate complex technical concepts to scientific, technical, and platform stakeholders.

• Demonstrated ability to lead resolution of complex technical issues while providing clear status updates and communication back to scientific stakeholders.

• Deep foundational technical expertise across HPC and cloud platforms, including Linux, Slurm, Kubernetes, GitOps, Google Cloud Platform, Spack, Cluster Toolkit, infrastructure-as-code-tooling, GPU architectures, and related scientific software ecosystems.

PREFERRED QUALIFICATIONS 

• Advanced experience with at least one of AWS and GCP, including knowledge of core compute and storage services relevant to HPC.

• Experience designing, operating, or supporting distributed computing environments, including Kubernetes-based environments such as GKE.

• Prior experience with HPC deployment utilities including Google Cluster Toolkit

Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

Occasional travel for internal meetings and conferences.

Relocation support available

Work Location Assignment: Hybrid

The annual base salary for this position ranges from $124,400.00 to $207,400.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.

Relocation assistance may be available based on business needs and/or eligibility.

Candidates must be authorized to be employed in the U.S. by any employer.

U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.

Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations.  These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure.  Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act.  Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government.  If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

EEO & Employment Eligibility

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status.  Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA.  Pfizer is an E-Verify employer.  This position requires permanent work authorization in the United States.

Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email [email protected]. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.

Information & Business Tech

As a Product Marketing Manager for NVIDIA NIM, you will play a pivotal role in helping enterprises deploy AI. NVIDIA NIM is revolutionizing AI from experimentation to production, packaging optimized, production-ready models for rapid deployment. Our product marketing team operates at the intersection of developer tooling and enterprise go-to-market, ensuring that our narrative resonates with ML engineers and CTOs alike. If you relish diving into technical depth and translating it into compelling stories, this is the perfect opportunity!

What you will be doing:

• Launching products: You'll build and manage launch plans for high-visibility NIM releases, coordinating assets, timelines, keynote slides, demos, and press materials while driving cross-functional execution with product management, engineering, technical marketing, and PR or equivalent experience.
• You'll align the team on messaging and positioning for NIM across developer and enterprise audiences. You will develop messaging docs, sales enablement materials, customer presentations, solution overviews, and web content.
• Driving awareness: You'll identify target audiences and content gaps, then build the assets that fill them — blogs, webinars, demos, solution briefs, and more.
• Crafting the ecosystem story: You'll drive co-marketing engagements with NVIDIA's model providers, cloud partners, and ISV ecosystem to showcase the full range of possibilities with NIM.
• Collaborating with PR: You'll work with PR on press launches to ensure the NIM story is accurate, compelling, and consistent across every channel.

What we need to see:

• Excellent written and verbal communication skills, with a proven track record of articulating technical value to both developer and executive audiences.
• College degree or equivalent experience.
• More than 8 years proven track record in product marketing, product management, or a similar role within a technology company.
• Highly independent — you manage your own priorities, drive cross-functional alignment, and don't need tactical oversight to complete.
• Ability to collaborate across functions, influence without authority, and drive decisions in a dynamic environment.
• An entrepreneurial approach: you adapt when priorities shift, you learn continuously, and you make things happen.
• Writing samples of public-facing technical content (required with application).
• A strong mix of technical and business skills — equally comfortable in a conversation with a platform engineer and a VP of Engineering.

Ways to Stand Out from the Crowd:

• Direct experience with AI inference, model deployment, or developer-facing AI platforms.
• Experience building launch plans for sophisticated, high-visibility products — including keynote assets, press launches, and demos.
• Experience going deep enough on a technical product to understand its strengths and weaknesses — and translate that into clear positioning for a developer audience.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family ! www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 4, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Join the team at the forefront of NVIDIA Agentics, Nemotron Edge Modeling & the Blueprint group. We connect foundational models with real-world applications, enabling advanced Agentic AI across sectors like smart manufacturing, public safety, and healthcare. Our mission is to support high-performance foundation models tailored for edge deployment. We also support NVIDIA Blueprints, which provide customizable, production-ready AI workflows. In addition, we support a team whose focus is to apply agentic AI patterns (autonomous or semi-autonomous AI agents) to security, threat modeling, code and dependency analysis, prompt-injection defenses, taint tracking, and agent red-teaming.

We are looking for a passionate Senior Technical Program Manager to join the journey, with a focus on agentic AI workflow and execution. In this role, you will drive and coordinate cross-functional teams to successfully manage and complete large-scale technical projects from concept to deployment. 

*What You’ll Be Doing:*

• Integral member of Agentic AI workflow and execution
• Lead cross-functional AI initiatives, coordinating between research, engineering, and product teams to deliver agentic AI features and systems.
• Collaborate with engineering on sprint planning, stand-ups, sprint review, and retrospectives.
• Work with engineering and product on shaping the roadmap and providing PORs to help with execution.
• Ensure technical alignment and execution, translating research concepts into production-ready capabilities.
• Establish standards to help improve productivity.
• Manage dependencies and risks across multiple AI projects, ensuring achievements are met, and resources are effectively allocated.
• Use the Jira dashboard to help with various reporting and Confluence to provide program updates to the core and leadership team
• Work closely with the engineering team on various KPIs to improve the overall execution process and deliverables
• Communicate progress and insights clearly to executives and technical stakeholders, anchoring decisions with data and measurable outcomes.

*What we need to see:*

• Bachelor's degree in Engineering or Computer Science (or equivalent experience) with 8+ years of proven experience in technical program management, ideally in LLM/Agentic AI projects.
• Validated track record leading complex AI initiatives from initial prototype stages to full production.
• Strong technical expertise combined with organizational leadership skills, effectively bridging research and implementation.
• Demonstrated success in prioritizing tasks and fostering alignment across teams, customers, and partners.
• Proficient in Agile methodologies and experienced with Jira, capable of guiding engineering teams in Agile and Scrum practices.

*Ways to stand out from the crowd:*

• Strong understanding of LLM (Large Language Model) architecture, frameworks (e.g., OpenAI, Anthropic, Hugging Face), and model evaluation.
• Understanding of agentic AI systems — multi-agent frameworks, tool orchestration, and autonomous workflow design.
• Deep curiosity about the frontiers of autonomous AI agents and real-world agent orchestration.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: AI, Data Engineering, and Data Science. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 4, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming Artificial Intelligence, computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

What you’ll be doing:

This role offers a great opportunity to be at the forefront of compiler verification, ensuring our brand-new technology maintains its premier standard. You will:

• Design industry grade C++ testsuite, focusing on modern C++ standards C++23/26.
• Identify potential gaps in current test procedures and leverage modern LLM technologies to increase quality of C++ testing.
• Automate compiler testing using NVIDIA test frameworks and programming. This includes test execution, test reporting, results analysis, and automation of build and test environments.
• Apply current iterative planning and test development processes in existing test coverage and work on closing test gaps.

What we need to see:

• Bachelor's or master's degree in computer science/computer engineering or equivalent experience
• 2+ years’ work experience in a software development or test organization.
• Proficiency in programming and/or testing in C++ and advanced level of understanding ISO C++20/23/26 features.
• Expertise in compilers / low-level software tools, understanding how they work and are implemented, with a proven track record to solve problems and implement solutions.
• Experience in writing test plans, test development, test automation, test execution, and reporting in a production environment.
• Deep understanding of Software Development Process (SDLC), High-Performance Computing (HPC), and Software Testing Methodologies.
• Excellent interpersonal skills, self-motivated, and well-organized.

Ways to stand out from the crowd:

• 2+ years’ experience testing production software, preferably compilers or other system software specifically in testing programming languages using modern AI /LLM technologies.
• Previous experience in compiler development, verification/testing, or performance analysis (i.e., developing/testing C++ runtime libraries, built-ins/Intrinsics.)
• Experience working with low-level ISA - ARM64, X64, RISC-V.
• Experience in ABI verification is a bonus.
• Background with revision control software and management tools, such as Git, Perforce, JIRA and Make.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 140,000 USD - 224,250 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 4, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is the platform for every new AI-powered application. We seek a senior engineer to own and evolve the core NIM Platform SDK and microservice framework. This framework powers NVIDIA Inferencing Microservices (NIM). The ideal candidate has deep systems engineering skills and a passion for building foundational platform libraries. These libraries support multiple NIM modalities in delivering production-ready AI inference at scale.

This is a hands-on, deeply technical role for someone who thrives on building core platforms that scale. The role involves solving deep software engineering challenges. These include high-performance systems programming, multi-cloud abstractions, and API framework development. The role requires collaboration across NIM product teams and delivering production-grade software supporting NVIDIA and the wider AI ecosystem.

What you'll be doing:

• Develop and advance the inference microservice framework: OpenAI-compatible API endpoints, inference backend integrations (vLLM, SGLang, TensorRT-LLM, Dynamo), middleware, observability instrumentation, and production hardening across cloud, on-prem, and Kubernetes environments.
• Architect significant new features in open-source codebases, shepherding them through project acceptance and into production.
• Build and optimize high-performance model download and caching pipelines across multiple cloud storage backends (NGC, HuggingFace, S3, GCS) - parallel transfers, integrity verification, and seamless multi-cloud operability.
• Implement the model profile and manifest system that ensures NIMs are optimized for every NVIDIA GPU platform - profile selection, validation, and multi-GPU configuration.
• Develop and refine cloud microservice patterns - service discovery, health checking, graceful degradation, API gateway integration, and end-to-end request lifecycle management - to ensure NIMs operate reliably at scale in diverse cloud deployment environments.
• Be a role model for high-quality code across Python, Rust, and C/C++, and model guidelines in test-driven development, agentic AI-assisted development, code review, and cross-team collaboration.
• Mentor teammates and establish high engineering standards for container quality, security, and operability.

What we need to see:

• BS or MS in Computer Science, Computer Engineering, or related field (or equivalent experience).
• 8+ years of demonstrated experience developing performant microservice, cloud software and/or platform infrastructure roles.
• Deep technical expertise in cloud-native microservice architecture, including service mesh, API gateways, load balancing, and distributed system build patterns.
• Expertise in high-performance data pipelines with parallel I/O, caching strategies, and integrity verification across distributed storage systems.
• Solid understanding of containerized application delivery using technologies such as Docker, Kubernetes, and Helm.
• Understanding of application security principles, including secure coding practices, vulnerability mitigation, secrets management, and supply chain integrity for containerized environments.
• Strong problem-solving skills grounded in first-principles reasoning and critical analysis.
• Excellent programming skills in Python and Rust, with strong foundations in algorithms, development patterns, and software engineering principles.

Ways to stand out from the crowd:

• Direct involvement in open-source inference backends such as vLLM, TRTLLM, or SGLang.
• Direct involvement in disaggregated serving frameworks like NVIDIA Dynamo.
• Experience building and operating production microservices at scale.
• Deep knowledge of multi-cloud deployment strategies across AWS, GCP, Azure, and OCI.
• Experience operating in regulated, air-gapped, or disconnected environments where strict security and compliance controls are required.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 4, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a DL Algorithms Engineer! We are seeking a highly skilled Deep Learning Algorithms Engineer with hands-on experience optimizing and deploying Large Language Models (LLMs), Vision-Language Models (VLMs), and World Foundation Models (WFMs) in production environments. In this role, you will focus on optimizing and deploying deep learning models for efficient and fast inference across diverse GPU platforms, particularly for physical AI and generative AI applications. You will collaborate with research scientists, software engineers, and hardware specialists to bring cutting-edge AI models from prototype to production.

What you will be doing:

• Optimize deep learning models for low-latency, high-throughput inference, with a focus on LLMs, VLMs, diffusion models, and World Foundation Models (WFMs) designed for physical AI applications.
• Convert, deploy, and optimize models for efficient inference using frameworks such as TensorRT, TensorRT-LLM, vLLM, and SGLang.
• Understand, analyze, profile, and optimize performance of deep learning and physical AI workloads on state-of-the-art NVIDIA GPU hardware and software platforms
• Implement and refine components and algorithms for efficient serving of LLMs, VLMs, and WFMs at datacenter scale, leveraging technologies like Dynamo.
• Collaborate with research scientists, software engineers, and hardware specialists to ensure seamless integration of cutting-edge AI models from training to deployment
• Contribute to the development of automation and tooling for NVIDIA Inference Microservices (NIMs) and inference optimization, including creating automated benchmarks to track performance regressions

What we want to see:

• Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience).
• Experience in deep learning, applied machine learning, or physical AI development.
• Strong foundation in deep learning algorithms, including hands-on experience with LLMs, VLMs, and multimodal generative models such as World Foundation Models.
• Deep understanding of transformer architectures, attention mechanisms, and inference bottlenecks.
• Proficient in building, optimizing, and deploying models using PyTorch or TensorFlow in production-grade environments.
• Solid programming skills in Python and C++.
• Experience with model quantization and modern inference optimization techniques (e.g., KV cache, in-flight batching, parallelization mapping).
• Strong fundamentals in GPU performance analysis and profiling tools (e.g., Nsight, nsys profiling).
• Familiarity with serving models using Triton Inference Server and PyTriton via Docker.

Ways to stand out from the crowd:

• Proven experience deploying LLMs, VLMs, diffusion models, or World Foundation Models (WFMs) at scale in real-world applications, especially for robotics or autonomous vehicles.
• Hands-on experience with model optimization and serving frameworks, such as: TensorRT, TensorRT-LLM, vLLM, SGLang, and ONNX.
• Direct experience with NVIDIA Cosmos, Isaac Sim, Isaac Lab, or Omniverse platforms for synthetic data generation and physical AI simulation.
• Experience with data curation pipelines and tools like NVIDIA NeMo Curator for large-scale video data processing and model post-training.
• Deep understanding of distributed systems for large-scale model inference and serving.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 4, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for a Dataflow Development Engineer to join our team and develop, build, and improve dataflow systems at the hardware–software boundary. You will work on defining the interactions between the runtime and accelerator, implementing and tuning dataflow pipelines, creating host-side drivers and runtimes that collaborate with programmable logic, and jointly inventing hardware and software for deterministic, low-latency execution. You will implement dataflow graphs and streaming pipelines in hardware. You will build efficient host–device interfaces (PCIe, DMA, VFIO) and collaborate with compiler and architecture teams to map high-level dataflow onto FPGA and accelerator fabrics. Your work directly affects latency, efficiency, and resource usage for inference at scale. The ideal candidate has a proven hardware approach, including experience with FPGA development, HDL, or hardware/software co-design. They can analyze timing, resource usage, and data movement. We seek engineers comfortable working from RTL to runtime. They consider pipelines and hardware performance and enjoy implementing dataflow architectures in silicon and programmable logic.

What you'll be doing:

• Build and implement dataflow pipelines and streaming architectures.
• Develop host-side software, drivers, and runtimes that collaborate with our accelerator hardware (e.g. PCIe, DMA, VFIO || FPGA/LPU/GPU).
• Partner with compiler and hardware groups to allocate dataflow graphs onto hardware resources; improve latency, processing efficiency, and area/utilization.
• Build and maintain hardware–software co-design flows: from high-level dataflow specs to synthesis, place-and-route, and validation.
• Build tooling and methodologies for debugging, profiling, and validating dataflow behavior in hardware; participate in design reviews and cross-team alignment across EMEA and globally.

What we need to see:

• BS or higher degree or equivalent experience in CS/EE/CE with more than 12 years in FPGA development, or hardware dataflow, or hardware/software co-design.
• Hands-on experience with RTL/HDL (Verilog, VHDL) or high-level synthesis (HLS); ability to build and debug dataflow-style pipelines in hardware.
• Strong programming abilities in C/C++ for host drivers, runtimes, or tooling; familiarity with hardware interfaces (e.g. PCIe, DMA, memory-mapped I/O).
• Proven understanding of dataflow and streaming concepts: pipelining, backpressure, buffering, and resource/area trade-offs.
• Excellent communication in English; ability to work with distributed teams.

Ways to stand out from the crowd:

• Experience working with FPGA dataflow for machine learning inference, networking, or high-throughput streaming (e.g. Xilinx/AMD, Intel FPGA).
• Familiarity with FPGA toolchains (synthesis, P&R, timing closure) and with Linux, scripting, and version control.
• VFIO, SR-IOV, or other pass through/virtualization for accelerators; low-level driver or BSP development.
• ASIC or custom-silicon dataflow build; RTL developed for dataflow or network-on-chip (NoC).
• Background in compiler backends; MLIR or IR-level optimization for hardware mapping as well as experience with multi-FPGA or FPGA–GPU systems; distributed dataflow across programmable logic and accelerators.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 196,000 USD - 310,500 USD for Level 5, and 232,000 USD - 368,000 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 4, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Senior Verification Engineer! NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. This specific role will be part of a front-end multi-media IP team responsible for a varied set of multi-media focused IP's.

What you will be doing

Depending on individual project requirements, you will be working on some or some of the below typical activities: Participate and help drive the development of NVIDIA multi-media IP designs with emphasis on first pass success. Collaborate and partner with ASIC design engineers, IP architects and other verification engineers to formalize product features Verify IP's using System Verilog and UVM Build testbenches and enhance flows for automation of unit level trace based testing against reference C models Architect and build verification architecture and associated documents Develop simulation models Regression management across HLS, Verilog, and FPGA simulations Performance testing and analysis Functional and code coverage tracking and closure Help the team advance verification techniques and methodology IP integration testing into full chip environment

What we need to see

BS/MS Electrical or Computer Engineering (or equivalent experience) 5+ years of proven design verification experience Expertise in verifying sophisticated IP's with System Verilog Experience with verifying High-Level-Design (HLS) designs a plus Programming and scripting experience with C and Python Familiar with using AI enabled IDE's for code development You have excellent written, verbal and technical communication skills Demonstrate use of out-of-box thinking for creative solutions to highly sticky problems With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're creative and autonomous, we want to hear from you! #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

We are now looking for a Senior GPU Architect!

The NVIDIA GPU Architecture group is looking for world class architects and software developers to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for parallel processing algorithms. We are constantly looking for ways to improve our GPU architecture and maintain our leadership by developing new parallel programming models, new architectures and new infrastructure that is required to make this successful. In this position, you will be responsible for developing and enhancing various features in the GPU architecture that advance the state of the art in graphics features, graphics performance, parallel programming models or parallel computing performance. You would interact with other world-class architects and researchers to build simulators and infrastructure to design and validate these new features.

What you'll be doing:

• Design new hardware features for future graphics and parallel processing architectures.
• Develop or enhance graphics or parallel processing algorithms and advance the state of parallel computation.
• Be knowledgeable about future parallel programming models and their impact to hardware.
• Develop software for various hardware simulators, test infrastructures or metrics systems including databases.
• Work in a team to document, design, develop tools to analyze and simulate, validate, and verify functional or performance models.
• Develop tests, testplans, and testing infrastructure for new graphics or parallel processing architectures
• Be hungry to learn and work on simulators, RTL and real silicon.

What we need to see:

• MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience.
• 8+ years of relevant industry experience in GPU or CPU architecture (or other equivalent experience).
• Strong programming ability in C, C++, Perl and Python.
• Background in computer architecture, graphics algorithms, parallel processing, signal processing and/or high performance computing.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you! Come, join our Architecture team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 4, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. 

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement. In this position, you'll be responsible for developing and enhancing various features in the GPU architecture.

What you will be doing:

• Contribute to advancing GPU Architecture Simulators, GPU testing infrastructure and metrics.
• Understand and model in C++ and python, features for future GPU graphics and parallel processing architectures.
• Develop test plans and testing infrastructure.
• Debug tests on architecture simulators.
• Develop tools to validate performance models and verify functional models.

What we need to see:

• Pursuing or recently completed an MS or PhD (or equivalent experience) in CS, EE, math or related discipline.
• Strong programming ability in C, C++, and Python.
• Deep knowledge of computer architecture and parallel programming.

Ways to stand out from the crowd:

• Experience in machine learning/deep learning and/or graphics algorithms, and/or signal processing.
• Prior architecture experience.
• Programming in CUDA and/or DX and Vulkan.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 4, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.