The Role
Develop and optimize a compiler toolchain for translating deep learning models, collaborating with ML and hardware teams. Requires significant industry experience in compiler development.
Summary Generated by Built In
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
Skills Required
- MS or PhD in Computer Engineering/CS/EE
- 5+ years industry experience as a compiler engineer or developer
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The Company
What We Do
TetraMem is developing cutting-edge analog computing solutions for AI applications, offering exceptional performance with ultra-low power consumption.
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