NVIDIA

NVIDIA

Posted via Workday

Senior GPU Architect

Posted Aug 5, 2026

Role at a glance

Salary
$184K – $356.5K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
3+ years of relevant computer architecture, ASIC design/verification, or software development experience.
Education
Masters, or PhD in relevant field (Eg: Computer Science, Computer Engineering or Electrical Engineering) or equivalent experience.

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Role Summary

AI-generated

The GPU Architecture Group is seeking architects to design NVIDIA’s proprietary GPU profiler subsystem, which supports profiling and monitoring tools used for performance optimization. The role works with GPU architects, software engineers, verification teams, and deep learning experts to develop hardware profiling features and performance insights.

What You'll Do

  • Architect and plan next-generation GPU profiling features with software, hardware, and verification teams.
  • Build functional and performance models to refine and verify hardware designs.
  • Create test plans to validate designed features and contribute to their implementation.
  • Improve understanding of AI workloads, GPU architecture, and the profiling software stack.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

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.

Required

  • C++ or similar
  • Python or similar
  • Computer architecture
  • Hardware performance analysis
  • Performance modeling
  • Hardware simulation
  • Strong communication and interpersonal skills

Preferred

  • 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

Original job description

Content provided by the employer

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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.