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Freelance Machine Learning Compiler Engineer Jobs in California

Senior Compiler Engineer

San Jose, CA ยท On-site

$160K - $210K/yr

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 ...

Senior Code Generator Compiler Engineer

Santa Clara, CA ยท 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 ...

Senior Code Generator Compiler Engineer

Santa Clara, CA ยท On-site

$122K - $168K/yr

Our Compiler team is responsible for constructing and emitting the highest performance GPU machine ... deep-learning compiler technology spanning architecture design and support through functional ...

Deep Learning Compiler Engineer

Burlingame, CA ยท On-site

$110K - $270K/yr

... 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 ...

Deep Learning Compiler Engineer

Burlingame, CA ยท On-site +1

$110K - $270K/yr

... 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 - AI

Santa Clara, CA ยท 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 ...

Senior Compiler Engineer - AI

Santa Clara, CA ยท 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 ...

Showing results 41-60

Freelance Machine Learning Compiler Engineer information

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

AspectFreelance Machine Learning Compiler EngineerFreelance Software Developer
Required SkillsMachine learning frameworks, compiler optimization, programming (C++, Python)General programming, software design, various languages
Work EnvironmentProject-based, remote, often technical teams in AI/ML industryVaried industries, remote or on-site, broad application areas
Industry UsageAI/ML companies, research labs, tech firmsTech, finance, healthcare, startups, enterprise

Freelance Machine Learning Compiler Engineers focus on optimizing ML models for deployment, requiring specialized knowledge in ML frameworks and compiler technology. Freelance Software Developers have broader roles across various industries, working on diverse software projects. Both roles are in high demand but differ in technical focus and industry application.

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For Freelance Machine Learning Compiler Engineer jobs in California, the most frequently searched job titles are:

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Infographic showing various Freelance Machine Learning Compiler Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Senior Compiler Engineer

San Jose, CA โ€ข On-site

$160K - $210K/yr

Full-time

Retirement

Re-posted 8 days ago


Key responsibilities

  • Develop new compiler features to improve hardware efficiency and maintain programmability.

  • Write unit and integration tests to identify functional and performance bugs in the compiler system.

  • Collaborate with hardware, physical design, and application teams to optimize compiler solutions and improve hardware architecture.


Job description

Efficient is developing the world's most energy-efficient general-purpose computer processor. Efficient's patented technology uses 100x less energy than state of the art commercially available ultra-low-power processors and is programmable using standard high-level programming languages and AI/ML frameworks. This level of efficiency makes perpetual, pervasive intelligence possible: run AI/ML continuously on a AA battery for 5-10 years. Our platform's unprecedented level of efficiency enables IoT devices to intelligently capture and curate first-party data to drive the next major computing revolution
We are seeking a Senior Compiler Engineer to join our growing team. 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 programmable processor. This position is a unique opportunity to develop applications for cutting-edge hardware as part of a highly interdisciplinary team, helping to demonstrate the value of Efficient's breakthrough technology. If you are an engineer who wants to be part of an intensely skilled team and wants to have an immediate impact building the next generation of energy-efficient ML applications, we want to talk with you!
Key responsibilities
  • Develop new compiler features to improve overall hardware efficiency while maintaining programmability. These may relate to:
    - Efficient's new dataflow ISA
    - Memory analysis and ordering Hardware constraints such as timing and power consumption
    - Place-and-route of applications onto Efficient's fabric
    - Visualization
    - Programmer debugging tools
  • Write unit and integration tests to uncover functional- and performance-related compiler bugs.
  • Work with various machine-learning frameworks to compile models to our custom hardware.
  • Debug and fix functional and performance issues of the compiler system.
  • Collaborate with the hardware and physical design team to understand and improve hardware architecture and propose future improvements.
  • Work closely with the application development team to understand the problem domain and deliver optimized compiler solutions.
Required qualifications & experience requirements
  • 6+ years of experience with C++.
  • Bachelor's/Master's degree in CS or related field.
  • Familiarity with compiler frameworks such as GCC, LLVM, and/or MLIR.
  • Understanding of computer architecture and optimization.
  • Experience using industry standard development and debugging tools including GDB.
  • Strong attention to detail, good work ethic, ability to work on multiple projects simultaneously, and good communication skills.
  • Good problem solving skills.
Additional qualifications considered
  • Familiarity with FPGA-compilation and/or PnR algorithms.
  • Experience with verilog, system verilog, or VHDL.
  • Knowledge of computer architecture.

We offer a competitive salary for this role, generally ranging from $160,000 to $210,000, along with meaningful equity and comprehensive benefits. The final compensation package will be based on your experience and location, with some flexibility to ensure we align with the right candidate.
Why Join Efficient?
Efficient offers a competitive compensation and benefits package, including 401K match, company-paid benefits, equity program, paid parental leave, and flexibility. We are committed to personal and professional development and strive to grow together as people and as a company.