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Engineering Manager, AI Compiler Analysis
NVIDIA's invention of the GPU transformed computer graphics, parallel computing, and modern AI. Today, NVIDIA high-performance processing platforms power breakthroughs across generative AI, autonomous systems, scientific computing, robotics
- Company
- NVIDIA
- Location
- US, CA, Santa Clara; US, TX, Austin; US, WA, Seattle
- Status
- Open
- Posted
- 2026-08-30T00:00:00+00:00
NVIDIA is hiring an engineering manager to lead a team that verifies AI compilers, covering LLMs and agentic workloads across the compiler stack and execution pipeline. The role involves defining formal-verification requirements for compiler transformations and generated GPU programs, and driving adversarial workload generation, differential testing, symbolic reasoning, fuzzing and static analysis. It is hands-on, requiring 10+ years of software engineering experience, at least three years leading teams or major initiatives, and familiarity with MLIR, TensorRT, XLA, Triton, PyTorch or JAX.
Original job posting