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Principal Engineer, CUDA UMD - GPU Kernel Scheduling
NVIDIA
US, CA, Santa Clara · On-site · relocation$22,667–35,938 gross/mofull-timeNVIDIA Careers (offices abroad)
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.
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.
- Write effective, maintainable, and well-tested code
- Develop code for multiple operating systems
- What we need to see
- BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)
Languages
- Work format
- On-site
- Seniority
- Lead
- Posted
- 14 Sept 2026
- Last verified
- In the last 5 days
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