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Senior AI Training Performance Architect
We are now looking for a Senior AI Training Performance ArchitectNVIDIA 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 drivi
- Company
- NVIDIA
- Location
- US, CA, Santa Clara
- Status
- Open
- Posted
- 2026-07-24T00:00:00+00:00
NVIDIA is hiring a senior engineer to profile and optimize AI training workloads on GPU hardware and software. The work covers performance bottleneck analysis, production software across the deep learning stack from drivers to frameworks, MLPerf Training benchmark submissions, and workload implementation in proprietary processor and system simulators. The posting asks for a PhD with five years or an MS with eight, deep learning training background, computer and GPU architecture knowledge, performance tuning and modeling experience, and C++, Python and CUDA proficiency. It spans hardware and software layers.
Original job posting