Responsibilities:
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 Requirements:
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 in one or more of the following areas considered a strong plus:
Experience in RISC-V CPU/VPU kernel development and optimization
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 MLIR
Experience with LLVM and other open-source compiler libraries and tools
Publications on compilation of ML or dataflow programs for HW acceleration
Salary Range: $200,000 - $300,000 / year