Job description

NVIDIA’s GPU Architecture Group is looking for architects to contribute to the design of our proprietary profiler subsystem, the apparatus embedded in every GPU that enables our profiling and monitoring tools to capture data and provide feedback for performance optimization. As a member of our team, you will need to combine skills in hardware modeling and verification with a deep understanding of GPU architecture, operating systems, and application performance analysis to innovate new methods of hardware profiling that yield more meaningful and accessible performance insights. You will have a tangible impact at a fast-paced company that is spearheading the AI revolution. Join our technically diverse team of GPU architects, software engineers and deep learning experts to push the boundaries of AI performance! What you’ll be doing: • Architect and plan features in concert with software, hardware, and verification teams working across the globe to implement next generation GPU profiling features. • Build functional and performance models to refine and verify hardware designs. • Create test plans to validate the features you design and contribute to their implementation. • Constantly develop your skills for practical innovation by improving your understanding of the AI workloads, the GPU architecture, and the profiling software stack. What we need to see: • Masters, or PhD in relevant field (Eg: Computer Science, Computer Engineering or Electrical Engineering) or equivalent experience. • 3+ years of relevant computer architecture, ASIC design/verification, or software development experience. • Strong programming skills in C++ (or similar) and Python (or similar). • Solid foundation in computer architecture and hardware performance analysis. • Experience with performance modeling and hardware simulation, ideally using SystemC. • Strong communication and interpersonal skills including the ability to work with a distributed interdisciplinary team. Ways to stand out from the crowd: • Expertise in developing and optimizing parallel algorithms, particularly using GPUs. • Extensive experience as a user or developer of CPU or GPU profiling tools. • Background with AI and/or high-performance computing applications • Experience contributing to and debugging large codebases with many developers. 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 June 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

Requirements

Must-haves

Architect and plan features in concert with software, hardware, and verification teams working across the globe to implement next generation GPU profiling features.
Build functional and performance models to refine and verify hardware designs.
Create test plans to validate the features you design and contribute to their implementation.
Constantly develop your skills for practical innovation by improving your understanding of the AI workloads, the GPU architecture, and the profiling software stack.
Masters, or PhD in relevant field (Eg: Computer Science, Computer Engineering or Electrical Engineering) or equivalent experience.
3+ years of relevant computer architecture, ASIC design/verification, or software development experience.
Strong programming skills in C++ (or similar) and Python (or similar).
Solid foundation in computer architecture and hardware performance analysis.
Experience with performance modeling and hardware simulation, ideally using SystemC.
Strong communication and interpersonal skills including the ability to work with a distributed interdisciplinary team.
Expertise in developing and optimizing parallel algorithms, particularly using GPUs.
Extensive experience as a user or developer of CPU or GPU profiling tools.
Background with AI and/or high-performance computing applications
Experience contributing to and debugging large codebases with many developers.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until June 6, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipython

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