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Internship Machine Learning Compiler Engineer Jobs in California

Apple

Machine Learning Compiler Engineer

Sunnyvale, CA · On-site

Description As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the ...

Apple

Machine Learning Compiler Engineer

Sunnyvale, CA · On-site

$150K - $277K/yr

Description As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the ...

Luminal

Senior Compiler Engineer

San Francisco, CA · On-site

$123K - $169K/yr

They are seeking a Senior Compiler Engineer to design and build core compiler infrastructure ... Luminal provides a machine learning compiler and serverless cloud platform that automates PyTorch ...

Nvidia

Deep Learning Compiler Engineer

Santa Clara, CA · On-site

... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...

Nvidia

Deep Learning Compiler Engineer

Santa Clara, CA · On-site

... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...

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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.

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Internship Machine Learning Compiler Engineer jobs near you
Infographic showing various Internship Machine Learning Compiler Engineer job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 59% Full Time, 38% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Machine Learning Compiler Engineer

Sunnyvale, CA • On-site

Apple Inc.
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Apple Inc.external

Other

Re-posted 11 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Sunnyvale, California, United States Machine Learning and AI

At Apple, we're on the cutting edge of delivering transformative experiences through Artificial Intelligence. If you're passionate about pushing the boundaries of AI and hardware optimization, we want you to join our team! As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro, iPhone, iPad, Mac, and more. This is a dynamic opportunity to work with us in a creative, collaborative environment while developing groundbreaking technologies that will shape the future of computing. Are you ready to help us deliver the next groundbreaking Apple products?

Description

As a Machine Learning Compiler Engineer, you will:

  • Architect and develop the compiler for Apple's proprietary Neural Engine Accelerator, optimizing it for deep learning inference with a focus on performance, scalability, and power efficiency
  • Collaborate with cross-functional teams, including hardware and platform architecture teams, to bring new hardware silicon to market and ensure compiler support for next‑gen features
  • Lead the design and implementation of complex compiler features, advancing both technical capabilities and strategic alignment across the team and company
  • Play an instrumental role in defining new compiler architecture approaches and optimizations, balancing trade‑offs between performance, energy efficiency, and hardware constraints
  • Identify and drive initiatives that will improve the scalability and general performance of AI workloads on Apple hardware, contributing to the vision and roadmap of the Apple Neural Engine team
Minimum Qualifications
  • Bachelor’s degree in Computer Science, Computer Engineering, or a related field with 3 years of relevant experience
  • Experience with program analysis and IR (Intermediate Representation), or programming language design, particularly with MLIR and LLVM
  • Proven expertise in compiler design and architecture, including deep experience with front‑end and middle‑end optimizations, register allocation, and back‑end code generation
  • High‑level proficiency in C++ and experience working with large, complex software systems
Preferred Qualifications
  • Master's or PhD degree in Computer Science, Computer Engineering, or a related field
  • Demonstrated ability to ship high‑quality production software
  • Strong communication skills and ability to collaborate effectively across teams and functions
  • Experience optimizing compilers for distributed, parallel, or heterogeneous execution environments, with a solid understanding of shared memory, synchronization, and multi‑threading techniques
  • Expertise in neural network inference on specialized SoCs or GPUs, and knowledge of deep learning frameworks and tools
  • Familiarity with Just-in-Time (JIT) compilation and dynamic optimization techniques for real‑time code execution

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

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What Apple employees say

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Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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