Compiler Engineer

TETRAMEM INC; San Jose (CA); On-site; USD 110,000 - 300,000; Full time

Job summary

A leading AI technology company located in San Jose is seeking a Compiler Engineer to develop innovative compiler toolchains for deep learning models. Candidates should have a master's or PhD in Computer Engineering/CS/EE and at least 5 years of relevant industry experience. This role focuses on optimizing ML model inference, collaborating with diverse teams, and providing technical leadership. The company offers a competitive salary range of $110,000 to $300,000 per year, promoting a fast-paced and collaborative environment.

Qualifications

• 5+ years industry experience as a compiler engineer or developer.
• Experience developing compilers for GPU, dataflow compilers, or ML compilers.
• Startup mindset/experience is preferred.

Responsibilities

• Develop compiler toolchain to translate deep learning models to new hardware.
• Innovate ways to 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.

Skills

Compiler engineering

Machine learning optimization

Collaborative teamwork

Technical leadership

Education

MS or PhD in Computer Engineering/CS/EE

Tools

LLVM

GCC

Clang

Job description

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.

We are looking for passionate individuals who thrive in a fast‑paced, collaborative environment. Join our global team to shape the future of AI computations and sustainable technology solutions while working at the forefront of innovation.

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