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NVIDIA

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! Applications for this job will be accepted at least until June 15, 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.

Senior GPU Architect

ArchitectArchitectFull TimeRemoteSeniorTeam 10,001+Since 1993H1B SponsorCompany SiteLinkedIn

Location

Arizona + 4 moreAll locations: Arizona | California | North Carolina | Oregon | Texas

Posted

12 days ago

Salary

$184K - $356.5K / year

Seniority

Senior

Postgraduate Degree3 yrs expEnglishPython

Job Description

Senior GPU Architect

NVIDIA

• 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.

Job Requirements

  • 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.

Benefits

  • equity
  • benefits

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