ZipRecruiter

Log In

1

Ml Compiler Engineer Jobs (NOW HIRING)

femtoAI

ML Compiler Engineer

San Bruno, CA · On-site

You will work on a custom ML compiler that transforms modern ML and DSP models into highly efficient programs for our accelerator. This role spans the full compiler stack-from ingesting models and ...

femtoAI

Senior ML Compiler Engineer

San Bruno, CA · On-site

$124K - $171K/yr

Masters or PhD in Computer Science, Electrical Engineering, Math, or a related field * Deep experience with at least one: * ML compiler frameworks (MLIR, TVM, XLA, etc.) * Low-level optimization ...

General Motors

Senior ML Compiler Engineer

$107K - $146K/yr

If you want your compiler andkernelsworktodirectlyinfluencehow automated vehicles understand and ... GPU programming (CUDA) and familiarity with ML SW stack (e.g.,cuDNN,cuBLAS) * Experience with ML ...

General Motors

Senior ML Compiler Engineer

Warren, MI

$98K - $134K/yr

If you want your compiler andkernelsworktodirectlyinfluencehow automated vehicles understand and ... GPU programming (CUDA) and familiarity with ML SW stack (e.g.,cuDNN,cuBLAS) * Experience with ML ...

General Motors

Senior ML Compiler Engineer

Sunnyvale, CA · On-site

$122K - $168K/yr

The Role As a Senior Compiler Engineer on the AI Kernels & Compilers team, you will work on the ... Experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX) and software stack (e.g., ONNX, MLIR ...

General Motors

Senior ML Compiler Engineer

San Francisco, CA · On-site

$123K - $169K/yr

If you want your compiler andkernelsworktodirectlyinfluencehow automated vehicles understand and ... GPU programming (CUDA) and familiarity with ML SW stack (e.g.,cuDNN,cuBLAS) * Experience with ML ...

General Motors

Senior ML Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

If you want your compiler andkernelsworktodirectlyinfluencehow automated vehicles understand and ... GPU programming (CUDA) and familiarity with ML SW stack (e.g.,cuDNN,cuBLAS) * Experience with ML ...

General Motors

Senior ML Compiler Engineer

Sunnyvale, CA

$122K - $168K/yr

If you want your compiler andkernelsworktodirectlyinfluencehow automated vehicles understand and ... GPU programming (CUDA) and familiarity with ML SW stack (e.g.,cuDNN,cuBLAS) * Experience with ML ...

Qualcomm

Machine Learning Compiler Engineer

New York, NY · On-site

The Compiler Labs unit in Qualcomm's AI Software department is looking for ML Compiler engineers to ... Mapping ML algorithms to ML accelerators is currently one of the most interesting and challenging ...

Qualcomm

Machine Learning Compiler Engineer

Manhattan, NY · On-site

$200.80 - $301.20/hr

Mapping ML algorithms to ML accelerators is currently one of the most interesting and challenging problems for compilers. Our compiler targets include the Qualcomm Neural Signal Processor, Adreno ...

SF Tensor

Founding GPU Compiler Engineer

San Francisco, CA · On-site

$163K - $200K/yr

PTX/SASS, GCN/RDNA assembly, or other GPU ISAs • Familiarity with ML compiler stacks (XLA, TVM, Triton, torch.compile, or similar) • Solid systems programming skills in C++ and/or Rust • Proven ...

Waymo

Senior ML Compiler Engineer, Compute

Mountain View, NY · Hybrid

$106K - $146K/yr

Design and implement compiler support for novel features of our high-performance architecture ... working with ML inference or linear algebra computation * C++ programming skills, including ...

next page

Showing results 1-20

All JobsTechnology JobsData JobsData Scientist JobsMl Compiler Engineer Jobs

Ml Compiler Engineer information

See salary details

$33K

$89.2K

$142K

How much do ml compiler engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for ml compiler engineer in the United States is $89,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $109,000.00 per year, depending on experience, location, and employer.

What does an ML Compiler Engineer do?

An ML Compiler Engineer designs and develops compilers and software tools that optimize machine learning models for deployment on various hardware platforms. Their work involves translating high-level ML code into optimized, low-level instructions that can run efficiently on CPUs, GPUs, or specialized accelerators. They collaborate closely with hardware engineers and ML researchers to ensure models execute quickly and accurately. Additionally, ML Compiler Engineers may work on improving performance, reducing memory usage, and supporting new ML frameworks or hardware.

What are some typical collaboration points between an ML Compiler Engineer and other teams during a project?

ML Compiler Engineers frequently collaborate with machine learning researchers to understand model requirements, with hardware engineers to optimize for specific accelerators, and with software developers to ensure seamless integration into production systems. This role often involves participating in cross-functional meetings, code reviews, and design discussions to align compiler optimizations with both hardware capabilities and end-user needs. Effective communication and teamwork are essential, as these engineers play a central role in bridging the gap between algorithm design and efficient execution on target platforms.

What are the key skills and qualifications needed to thrive as an ML Compiler Engineer, and why are they important?

To thrive as an ML Compiler Engineer, you need a strong background in computer science, compiler design, machine learning concepts, and typically a degree in computer science or a related field. Familiarity with tools like LLVM, MLIR, TensorFlow XLA, and programming in C++ and Python is often required, along with experience in optimizing machine learning workloads. Strong problem-solving abilities, attention to detail, and effective collaboration skills help set top professionals apart. These skills ensure efficient translation and optimization of ML models for diverse hardware, enhancing performance and scalability.

What is the difference between Ml Compiler Engineer vs Machine Learning Engineer?

AspectMl Compiler EngineerMachine Learning Engineer
Required SkillsProgramming, compiler design, optimization, ML frameworksData analysis, model development, programming, ML frameworks
Work EnvironmentResearch labs, tech companies, AI hardware firmsTech companies, startups, data-driven organizations
CertificationsComputer science, software engineering, specialized compiler coursesMachine learning, data science, AI certifications
Industry UsageAI hardware, software optimization, ML infrastructureModel development, deployment, data analysis

While both roles involve machine learning, Ml Compiler Engineers focus on optimizing ML models through compiler design and software performance, whereas Machine Learning Engineers develop and deploy ML models for applications. The roles often overlap in skills but differ in their primary focus areas.

More about Ml Compiler Engineer jobs

What cities are hiring for Ml Compiler Engineer jobs?

Cities with the most Ml Compiler Engineer job openings:

What states have the most Ml Compiler Engineer jobs?

States with the most job openings for Ml Compiler Engineer jobs include:

What job categories do people searching Ml Compiler Engineer jobs look for?

The top searched job categories for Ml Compiler Engineer jobs are:

Ml Compiler Engineer jobs near you
Infographic showing various Ml Compiler Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $89,183 per year, or $42.9 per hour.

ML Compiler Engineer

femtoAI

San Bruno, CA • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 days ago

Job description


You will work on a custom ML compiler that transforms modern ML and DSP models into highly efficient programs for our accelerator.
This role spans the full compiler stack-from ingesting models and transforming intermediate representations to optimizing execution under tight memory and latency constraints.
What You'll Do
  • Build and maintain model ingestion pipelines (e.g., PyTorch / ONNX → internal IR)
  • Implement graph transformations such as:
    • Operator decomposition and canonicalization
    • Shape inference and layout transformations
  • Develop and extend intermediate representations (e.g., MLIR)
  • Implement optimization passes including:
    • Operator fusion and graph partitioning
    • Basic scheduling and tiling strategies
    • Memory planning and reuse
  • Debug correctness and numerical issues across transformations
  • Collaborate with hardware and ML teams to improve system performance

Requirements
Required qualifications and experience:
  • 2+ years of experience in compilers and/or edge-AI
  • Proficiency in Python and/or C++
  • Experience with at least one:
  • MLIR, LLVM, TVM, XLA, or similar
  • Graph-level transformations or ML model internals
  • Understanding of deep learning models (conv, sequence models, etc.)
  • Ability to reason about correctness and performance tradeoffs

Nice to have:
  • Experience with optimization techniques (tiling, scheduling, memory reuse)
  • Familiarity with ONNX or PyTorch internals
  • Exposure to quantization or low-precision computation
  • Interest in hardware-aware ML systems

Benefits
  • 401(k)
  • Medical insurance
  • Vision insurance
  • Dental insurance
  • Commuter benefits
  • Disability insurance
  • Paid maternity leave
  • Paid paternity leave
  • Child care support

femtoAI is an equal opportunity employer committed to a diverse workforce which strives to create an inclusive working environment empowering everyone to do their best work. We do not discriminate on the basis of race, ethnicity, religion, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.

Apply