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Senior GPU Supercomputer Scheduler Engineer
NVIDIA
US, CA, Santa Clara +1 more · On-site · relocation$12,667–23,958 gross/mofull-timeNVIDIA Careers (offices abroad)
NVIDIA is a pioneer in accelerated computing, known for inventing the GPU and driving breakthroughs in gaming, computer graphics, high-performance computing, and artificial intelligence. Our technology powers everything from generative AI to autonomous systems, and we continue to shape the future of computing through innovation and collaboration.
Responsibilities
- Design and develop new scheduling features and add-on services to improve GPU compute clusters across many dimensions, such as resource usage fairness, GPU occupancy, GPU waste, application resilience, application performance and power usage.
- Design and develop batch workload management and orchestration services
- Provide support to staff and end users to resolve batch scheduler issues
- Build and improve our ecosystem around GPU-accelerated computing
- Performance analysis and optimizations of deep learning workflows
- Develop large scale automation solutions
- Root cause analysis and suggest corrective action for problems large and small scales
- Finding and fixing problems before they occur
- What we need to see
- Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience
Languages
- Work format
- On-site
- Seniority
- Senior
- Posted
- 13 Aug 2026
- Last verified
- In the last 5 days
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