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Internship Machine Learning Compiler Engineer Jobs in California

Senior Compiler Engineer - DL

Santa Clara, CA · On-site

$122K - $168K/yr

The role involves analyzing deep learning networks, developing compiler optimization algorithms ... interns is a bonus Company : Explore the latest breakthroughs made possible with AI. Founded in ...

Senior Compiler Engineer - AI

Santa Clara, CA · On-site

$122K - $168K/yr

The role involves driving innovative solutions in compilers and developer tools through applied machine learning and AI, focusing on building AI-driven compiler intelligence for production pipelines.

Compiler Engineer

San Jose, CA · On-site

$160K - $300K/yr

Design, develop, and maintain compiler toolchains that translate machine learning models from ... Collaborate closely with machine learning engineers to support model conversion, validation ...

Senior Compiler Engineer - DL

Santa Clara, CA · On-site

$143K - $189K/yr

NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

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Internship Machine Learning Compiler Engineer information

What is the difference between Internship Machine Learning Compiler Engineer vs Internship Software Engineer?

AspectInternship Machine Learning Compiler EngineerInternship Software Engineer
FocusDeveloping and optimizing compilers for machine learning modelsDesigning, coding, and testing software applications across various domains
SkillsMachine learning, compiler design, programming (C++, Python)Programming, algorithms, software development
Work EnvironmentResearch labs, tech companies, AI-focused teamsTech companies, startups, software firms
Industry UsageAI, machine learning, deep learning industriesBroad software development across industries

Internship Machine Learning Compiler Engineers focus on creating and optimizing compilers for machine learning models, requiring knowledge of AI and compiler design. In contrast, Internship Software Engineers work on developing general software applications across various fields. Both roles involve programming skills but differ in their specialization and industry focus.

What are the most commonly searched types of Machine Learning Compiler Engineer jobs in California? The most popular types of Machine Learning Compiler Engineer jobs in California are:
What job categories do people searching Internship Machine Learning Compiler Engineer jobs in California look for? The top searched job categories for Internship Machine Learning Compiler Engineer jobs in California are:
What cities in California are hiring for Internship Machine Learning Compiler Engineer jobs? Cities in California with the most Internship Machine Learning Compiler Engineer job openings:
Infographic showing various Internship Machine Learning Compiler Engineer job openings in California as of July 2026, with employment types broken down into 7% As Needed, 87% Full Time, 4% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.
Compiler Engineer

Full-time

Re-posted 26 days ago


Job description

Job Summary:
TetraMem is focused on accelerating the world through innovative technology, and they are seeking a Compiler Engineer to develop a compiler toolchain for deep learning models. The role involves optimizing the speed and efficiency of ML model inference and collaborating with machine learning and hardware teams.
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
Qualifications:
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 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
Company:
TetraMem is developing cutting-edge analog computing solutions for AI applications, offering exceptional performance with ultra-low power consumption. Founded in 2018, the company is headquartered in Newark, USA, with a team of 51-200 employees. The company is currently Growth Stage.