At TetraMem, we are redefining the future of AI with our groundbreaking innovations in In-Memory Computing. Leveraging world-record multi-level RRAM technology, we deliver highly efficient solutions for AI computations, enabling superior performance and energy efficiency across applications ranging from edge devices to data centers. Our talented team of engineers and industry-leading executives drives this progress, making TetraMem a leader in advanced memory technologies.
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Compiler Engineer
Department:
Software - Compiler, Runtime & SDK
Location:
San Jose, CA
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
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