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:

• Investigate and design new hardware features for future graphics and parallel processing architectures.

• 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.

• Strong programming ability in C, C++, Perl and Python.

• 3+ years working experience

• 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.