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Internship Machine Learning Compiler Engineer Jobs in California

... to bridge machine learning frameworks with silicon technology. Responsibilities : • Own MLIR ... compiler engineering experience, with hands-on MLIR contributions or equivalent IR-design ...

... job experience, internship experience and / or schoolwork/classes/research. The ... AI and machine learning performance * High-performance computing applications * Future GPU ...

They are seeking a GPU AI Compiler Engineer to evaluate and improve performance of machine learning frameworks and optimize GPU hardware resource utilization. Responsibilities : • Applies knowledge ...

Senior Compiler Engineer - AI

Santa Clara, CA · On-site

$143K - $189K/yr

We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our ... The ideal candidate brings broad experience across machine learning, including reinforcement ...

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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 June 2026, with employment types broken down into 33% Internship, 34% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution.

Compiler Engineer -- MLIR

DensityAI

Mountain View, CA • On-site

Full-time

Posted 20 days ago


Job description

Job Summary:
DensityAI is focused on developing innovative AI accelerators, and they are seeking a Compiler Engineer specializing in MLIR. The role involves owning the design and implementation of MLIR dialects and lowering passes to bridge machine learning frameworks with silicon technology.
Responsibilities:
• Own MLIR dialect design and lowering passes for our AI accelerator — defining the high-level tensor IR, async / streaming semantics, and sharded-tensor types that bridge ML frameworks to silicon
• Use and develop AI-assisted tool flows to accelerate compiler development
Qualifications:
Required:
• Exceptional abilities in MLIR dialect design, lowering pass authoring, and rewrite patterns
• 5+ years compiler engineering experience, with hands-on MLIR contributions or equivalent IR-design experience
• Deep understanding of tensor compilation, distributed / sharded execution, and async / streaming dataflow models
• Strong C++ fluency and experience integrating with ML frameworks (PyTorch, JAX, ONNX, TensorFlow, or equivalent)
Preferred:
• LLVM backend experience
• GPU compiler experience (Triton, IREE, XLA, or equivalent)
• Open-source MLIR / LLVM contributions
Company:
DensityAI is an infrastructure for data centers serving automotive, robotics, and industrial applications Founded in 2025, the company is headquartered in Mountain View, USA, with a team of 11-50 employees. The company is currently Early Stage.