Nvidia
Senior Software Engineer CUDA UMD - GPU Kernel Scheduling
US, CA, Santa Clara · Senior
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About the role
- 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.
- Join us at the forefront of technological advancement.
Responsibilities
- As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world.
- You will craft elegant solutions to exciting problems and shape the future direction of CUDA as you collaborate with your peers across NVIDIA.
- Evangelize, architect, and implement new features Coordinate and drive development efforts across multiple teams Help define forward-looking improvements to the CUDA APIs and programming model Extend important CUDA programming models and functionality such as CUDA Graphs Explore ways to use Graphs to improve the scheduling of AI/ML workloads on our GPUS to be more efficient and faster.
- Develop code for multiple operating systems What we need to see:
Compensation
- The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
Benefits
- You will also be eligible for equity and benefits.
Company info
- We're looking to grow our company, and form teams with the smartest people in the world.
- We are looking for a seasoned software professional to work on the CUDA Driver, a core component of our platform for accelerating general purpose computation on the GPU.
- Ways to stand out from the crowd:
Equal opportunity
- NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.