Senior GPU Architect, Deep Learning

Senior GPU & Deep Learning 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 innovation in graphics and parallel computing, delivering the highest performance in the world for deep learning and parallel processing algorithms. We constantly seek to improve our GPU architecture for deep learning workloads, both training and inference, and maintain our leadership by developing new parallel programming models and architectures necessary to achieve this success.

In this position you will develop and enhance various features in the GPU architecture that advance the state of the art in parallel programming and performance. You will collaborate with world‑class architects and researchers to build simulators, map deep learning workloads to current and future hardware, and validate new architectural features.

• Design new hardware features for future processing architectures targeted at deep learning workloads, for both training and inference.
• Advance the state of parallel computation.
• Be knowledgeable about future parallel programming models and their impact on hardware.
• Develop software for hardware simulators, test infrastructures, or metrics systems, including databases.
• Collaborate to document, design, develop tools to analyze and simulate, validate, and verify functional or performance models.
• Develop tests, test plans, and testing infrastructure for new graphics or parallel processing architectures.
• Be eager to learn and work on simulators, RTL, and real silicon.

• MS in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience.
• Experience with hardware targeted at deep learning, or mapping deep learning algorithms to hardware.
• 8+ years of relevant industry experience in GPU or other parallel programming architectures (or equivalent).
• Strong programming ability in C, C++, Perl, and Python.
• Background in computer architecture, parallel processing, signal processing, and/or high‑performance computing.
• Knowledge of the state of the art in DL algorithms and attention mechanisms is a huge plus.

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 –  287,500 for Level 4, and  224,000 –  356,500 for Level 5.

You will also be eligible for equity and other benefits.

Applications for this job will be accepted at least until December 8, 2025.

NVIDIA is committed to fostering a diverse work environment and is a proud equal‑opportunity employer. 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.