Senior GPU Architect, Deep Learning

We are now looking for a 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 to innovate in the graphics and parallel computing fields, delivering the highest performance in the world for deep learning and parallel processing algorithms.

We constantly seek ways to improve our GPU architecture, especially for deep learning workloads for both training and inference, and maintain our leadership by developing new parallel programming models and architectures necessary to achieve this. 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 parallel programming models or parallel computing performance.

You will interact with other 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 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, test plans, and testing infrastructure for new graphics or parallel processing architectures.
• Be hungry to learn and work on simulators, RTL, and real silicon.

• MS in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience.
• Experience working 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 other equivalent experience).
• Strong programming ability in C, C++, Perl, and Python.
• Background in computer architecture, parallel processing, signal processing, and/or high‑performance computing.
• Knowledge of state‑of‑the‑art DL algorithms and attention mechanisms is a huge plus.

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, consider joining our GPU Architecture team and help us build the real‑time, cost‑effective AI computing platform driving our success in this exciting and rapidly 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 is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate (including in 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.