Tetramem-posted 11 days ago
Full-time • Mid Level
San Jose, CA

Develop compiler toolchain to translate deep learning models to revolutionary new hardware Innovative in ways to optimize the speed and efficiency of ML model inference Collaborate with machine learning and hardware teams Senior candidates will lead and mentor in a growing team

  • Develop compiler toolchain to translate deep learning models to revolutionary new hardware
  • Optimize the speed and efficiency of ML model inference
  • Collaborate with machine learning and hardware teams
  • Lead and mentor in a growing team (for senior candidates)
  • MS or PhD in Computer Engineering/CS/EE
  • 5+ years industry experience as a compiler engineer or developer
  • Experience developing compilers for GPU, dataflow compilers, or ML compilers
  • Startup mindset/experience
  • Experience with ML model compression techniques, such as quantization or pruning
  • Experience providing technical leadership and/or guidance to other engineers
  • Knowledge of popular CPU/GPU compilers such as GCC, Clang
  • Knowledge of ML compilers such as Glow, TVM, MLIR, or XLA
  • Experience with LLVM and other open-source compiler libraries and tools
  • Publications on compilation of ML or dataflow programs for HW acceleration
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