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Senior AI Training Performance Architect
NVIDIA
US, CA, Santa Clara · On-site · relocation$15,333–29,708 gross/mofull-timeNVIDIA Careers (offices abroad)
NVIDIA is seeking a senior engineer who is obsessed with performance analysis and optimization to help us squeeze every last clock cycle out of AI training, the workload driving the design and construction of the largest and most powerful compute systems in the world. If you are willing to work across all layers of the hardware/software stack - from GPU architecture to the application code - to achieve peak performance, we want to hear from you.
Responsibilities
- Implement production-quality software across multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks.
- Build and support NVIDIA submissions for MLPerf Training benchmarks.
- Implement key DL training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies.
- Develop tools to automate workload analysis, optimization, and other critical workflows.
Languages
- Work format
- On-site
- Seniority
- Senior
- Posted
- 24 Jul 2026
- Last verified
- In the last 5 days
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