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NVIDIA

Senior GPU Architect

Reposted 4 Days Ago
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In-Office
Austin, TX
184K-357K Annually
Senior level
In-Office
Austin, TX
184K-357K Annually
Senior level
Designs hardware features for future GPU and parallel-processing architectures, develops graphics and parallel algorithms, and builds simulators, testing infrastructure, metrics systems, and validation tools. Collaborates with architects and researchers across RTL, software models, and real silicon. Requires advanced computer, electrical, or computer engineering education, 8+ years of GPU or CPU architecture experience, strong C, C++, Perl, and Python skills, and expertise in computer architecture, graphics, parallel processing, signal processing, or high-performance computing.
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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.


#ArchitectYourFuture

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
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 November 3, 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.

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