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TetraMem - Accelerate The World · 7 hours ago

Compiler Engineer

San Jose, CA

Full-time

Onsite

Mid, Senior Level

$110K/yr - $300K/yr

5+ years exp

TetraMem is focused on accelerating the world through innovative hardware solutions. They are seeking a Compiler Engineer to develop a compiler toolchain for deep learning models, optimize ML model inference, and collaborate with various teams.

Computer Hardware

H1B Sponsor Likely

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

Qualification

Compiler developmentGPU compilersML compilersLLVMML model compressionStartup mindsetPublications on ML compilationTechnical leadership

Required

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

Preferred

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

Company

TetraMem - Accelerate The World

TetraMem is developing cutting-edge analog computing solutions for AI applications, offering exceptional performance with ultra-low power consumption.

Founded in 2018

Newark, California, USA

51-200 employees

https://www.tetramem.com/

H1B Sponsorship

TetraMem - Accelerate The World has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (11)

2024 (10)

2023 (2)

2022 (1)

2021 (3)

2020 (1)