ML Research Engineer - Hardware Codesign
About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI silicon while working closely with software and research partners to co-design hardware tightly integrated wi
What this role actually needs.
ML Research Engineer - Hardware Codesign at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI silicon while working closely with software and research partners to co-design hardware tightly integrated wi
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What a strong candidate brings
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- Strong Python, and C++ or Rust, with a cautious attitude toward correctness and an intuition for clean extensibility.
- Experience writing Triton, CUDA, or similar, and an understanding of the resulting mapping of tensor ops to functional units.
- Working knowledge of PyTorch or JAX; experience in large ML codebases is a plus.
- Practical understanding of floating point numerics, the ML tradeoffs of reduced precision, and the current state of the art in model quantization.
- Deep understanding of transformer models, and strong intuition for transformer rooflines and the tradeoffs of sharded training and inference in large-scale ML systems.
- Experience writing RTL (especially for floating point logic) and understanding of PPA tradeoffs is a plus.
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- Tailor your resume around ai and machine-learning instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to ml research engineer - hardware codesign is a high-signal on-site role in san francisco, and it is most realistic for united states residents.
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- $185K - $455K is visible, so calibrate your application around the posted range.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
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