
TetraMem
Actively Hiring
AI hardware with high performance at low power
Job Location
Remote Work Policy
In office
Visa Sponsorship
Not Available
RelocationAllowed
Skills
ML Compilers
Compiler Toolchain
ML Model Inference
Compilers for GPU
Dataflow Compilers
About the job
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
- Senior candidates will lead and mentor in a growing team
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 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
Salary Range: $110,000 - $300,000 / year
About the company
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