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.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
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, NVIDIA is increasingly known as “the AI computing company.”
