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Internship Machine Learning Compiler Engineer Jobs in California

Our Compiler team is responsible for constructing and emitting the highest performance GPU machine ... Be part of a team that is at the center of deep-learning compiler technology spanning architecture ...

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 Code Generator Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

Our Compiler team is responsible for constructing and emitting the highest performance GPU machine ... Be part of a team that is at the center of deep-learning compiler technology spanning architecture ...

New

Senior Compiler Engineer

San Jose, CA · On-site

$160K - $210K/yr

  • Retirement

The Compiler Engineer will contribute to the design and implementation of an embedded machine learning (ML) system stack and TinyML applications to run on the world's most energy-efficient ...

Deep Learning Compiler Engineer

Burlingame, CA · On-site +1

$110K - $270K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and ... Role As a senior member of our platform software engineering team, you will be tasked with lowering ...

Senior Compiler Engineer

San Jose, CA · On-site

$160 - $210/hr

  • Retirement

The Compiler Engineer will contribute to the design and implementation of an embedded machine learning (ML) system stack and TinyML applications to run on the world's most energy-efficient ...

New

Deep Learning Compiler Engineer

Burlingame, CA

$110K - $270K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and ... Role As a senior member of our platform software engineering team, you will be tasked with lowering ...

ML Compiler Engineer, Annapurna Labs

Cupertino, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Your role will involve working closely with our custom-built Machine Learning accelerators ... non-internship professional software development experience - Proficiency with 1 or more ...

Showing results 21-40

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 August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Compiler Engineer, AI Inference Platforms

NVIDIA Gruppe

Santa Clara, CA • On-site

$152 - $241.50/hr

Other

Posted 2 days ago

New


Job description

Overview

AI & Deep Learning Compiler Engineer for NVIDIA’s Deep Learning & AI Compiler (DLC) team.

What you’ll be doing
  • Analyze deep learning networks and develop compiler optimization algorithms.
  • Collaborate with deep learning software framework teams and GPU architecture teams to accelerate the next generation of deep learning software.
  • Scope includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler techniques for AI workloads and future NVIDIA GPUs.
What we need to see
  • Bachelor’s, Master’s or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience.
  • 3+ years of relevant work or research experience in performance analysis and compiler optimizations.
  • Experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton).
  • Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.
  • Ability to work independently, define project goals and scope, and lead development efforts.
  • Strong interpersonal skills and the ability to work in a dynamic product-oriented team.
Ways to stand out from the crowd
  • Proficiency in CPU and/or GPU architecture. CUDA or OpenCL programming experience.
  • Understanding of deep learning models, algorithms and frameworks such as PyTorch and JAX.
  • GPU kernel authoring and performance analysis using tools such as Nsight Compute.
  • Track record of mentorship for early‑career engineers and interns.
  • Track record of new hardware bring‑up.
Compensation & Benefits

Base salary range: 152,000USD – 241,500USD. Eligible for equity and benefits.

EEO Statement

NVIDIA is committed to fostering a diverse work environment and proud to be an equal‑opportunity employer. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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