We are now looking for a Senior GPU Power 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 creating and maintaining accurate power models, defining new architectures and building 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 power for graphics and deep learning workloads. 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:
Work with chip architects to understand architecture concept and high-level system requirements
Identify key areas for power improvements across Architecture/Software/Hardware and develop new features, defining requirements and dependencies across various teams.
Creating power models of key GPU units to evaluate architectural tradeoffs in DL/ML (training/inference) and graphics workloads
Drive improvements to architecture development processes to improve execution capabilities.
Design new hardware power saving features for future graphics and parallel processing architectures.
Be knowledgeable about future parallel programming models and their impact to hardware.
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.
7+ years of relevant industry experience in GPU or CPU architecture (or other equivalent experience).
Programming ability in C++ and Python.
Background in hardware design, 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 GPU Architecture team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
#LI-Hybrid
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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.Top Skills
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.”
