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Remote Machine Learning Compiler Engineer Jobs in Seattle, WA

Nvidia

Senior Compiler Engineer Infrastructure

Redmond, WA · On-site +1

$121.50K - $165.20K/yr

We are looking for an experienced Compiler Infrastructure Engineer to join our Compute Compiler ... Familiarity with deep learning frameworks and performance-sensitive workloads on NVIDIA GPUs With ...

DocuSign

Senior Machine Learning Engineer

Seattle, WA · On-site +1

$186.10K - $300.55K/yr

What you'll do We are looking for a Senior Machine Learning Engineer to redefine how we operate our ... Employee divides their time between in-office and remote work. Access to an office location is ...

Chewy

Senior Machine Learning Engineer

Bellevue, WA · On-site +1

$149K - $245K/yr

At Chewy, our Sponsored Ads Technology team based out of Bellevue, WA is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite ...

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All JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Seattle, WA

Remote Machine Learning Compiler Engineer information

See Seattle, WA salary details

$85.4K

$190.5K

$233.3K

How much do remote machine learning compiler engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for remote machine learning compiler engineer in Seattle, WA is $190,548.00, according to ZipRecruiter salary data. Most workers in this role earn between $162,700.00 and $233,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Compiler Engineer, and why are they important?

To thrive as a Remote Machine Learning Compiler Engineer, you need a strong background in computer science, proficiency in programming languages like C++ and Python, and expertise in compiler theory and machine learning frameworks. Familiarity with ML compilers such as TVM or XLA, and experience using version control and CI/CD systems are commonly required, along with a relevant bachelor's or master's degree. Outstanding problem-solving, collaboration, and communication skills are essential for working effectively in distributed teams and across technical domains. These skills and qualities enable the development of efficient, scalable ML solutions that bridge software and hardware, ensuring high performance and innovation.

How does a Remote Machine Learning Compiler Engineer typically collaborate with cross-functional teams to optimize model deployment?

As a Remote Machine Learning Compiler Engineer, you will frequently collaborate with data scientists, hardware engineers, and software developers to ensure that machine learning models are efficiently compiled and deployed on target platforms. Communication often takes place through virtual meetings, code reviews, and shared documentation tools. You'll be responsible for translating research models into optimized code, troubleshooting performance bottlenecks, and integrating feedback from various stakeholders. Effective teamwork is crucial, as the success of deployments often depends on iterative feedback and close alignment with both the ML research and hardware teams.

What is a Remote Machine Learning Compiler Engineer?

A Remote Machine Learning Compiler Engineer is a software engineer who specializes in developing and optimizing compilers specifically for machine learning workloads, while working from a remote location. Their primary responsibilities include designing and implementing compiler features that translate machine learning models into efficient code for various hardware platforms, such as CPUs, GPUs, or specialized accelerators. They collaborate closely with machine learning researchers, hardware engineers, and software developers to ensure high performance and compatibility. In addition to strong programming skills, they typically require expertise in compiler theory, machine learning frameworks, and hardware architectures. This role allows for flexible, location-independent work while contributing to cutting-edge AI technologies.

What is the difference between Remote Machine Learning Compiler Engineer vs Remote Data Scientist?

AspectRemote Machine Learning Compiler EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Software Engineering, or related fields; knowledge of compiler design and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentPrimarily software development, compiler optimization, and ML model deploymentData analysis, model building, and interpretation of results
Industry UsageTech companies, AI startups, hardware firms focusing on ML hardware accelerationTech, finance, healthcare, and research organizations

While both roles involve working with machine learning, the Remote Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Remote Data Scientist concentrates on analyzing data and building predictive models. The roles share some technical skills but differ in their core responsibilities and work environments.

What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Seattle, WA? The most popular types of Machine Learning Compiler Engineer jobs in Seattle, WA are:
What are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Seattle, WA? For Remote Machine Learning Compiler Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Seattle, WA look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Remote Machine Learning Compiler Engineer jobs? Cities near Seattle, WA with the most Remote Machine Learning Compiler Engineer job openings:
Remote Machine Learning Compiler Engineer jobs near you
Senior Compiler Engineer Infrastructure

Senior Compiler Engineer Infrastructure

Nvidia

Redmond, WA • On-site, Remote

$121.50K - $165.20K/yr

Full-time

Posted 22 days ago

Job description

Come join the team and see how you can make a lasting impact on the world. We are looking for an experienced Compiler Infrastructure Engineer to join our Compute Compiler Team, with a primary focus on aligning NVIDIA's compiler codebases with open-source ecosystems and improving developer productivity at scale. This role sits at the intersection of open-source compiler development, internal compiler infrastructure, and developer experience. You will play a central role in reconciling downstream compiler repositories with upstream open-source projects such as LLVM, Clang, and MLIR, while building the tooling, workflows, and infrastructure that enable compiler engineers across NVIDIA to move faster and with higher confidence.

Our compiler organization makes its mark on every GPU NVIDIA produces. By improving how our internal compiler stacks align with open source and by modernizing the tools our developers rely on, you will help ensure that NVIDIA continues to lead in scalable, maintainable, and communitydriven compiler technology. If you are passionate about open-source stewardship, large-scale codebase alignment, and using modern tooling (including AI-assisted workflows) to improve developer velocity, we would love to hear from you.

What you will be doing:

  • Reconcile and synchronize downstream compiler codebases with open-source repositories, including restructuring, refactoring, and upstreaming internal changes where appropriate

  • Lead efforts to restructure, merge, or retire internal code to reduce divergence from upstream open-source projects

  • Design and build infrastructure, tooling, and developer workflows that improve productivity, correctness, and maintainability for internal compiler engineers

  • Develop automation and developer tools to aid in rebasing, patch management, validation, and large-scale refactoring

  • Explore and apply AI-assisted tools to improve developer workflows, including code navigation, change analysis, refactoring assistance, testing, and review efficiency

  • Partner with compiler developers, architecture teams, and CI/test infrastructure teams to ensure changes scale across geographically distributed organizations

  • Serve as a technical bridge between internal compiler development and open-source ecosystems, helping shape long-term alignment strategies

What we need to see:

  • B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or related field (or equivalent experience)

  • Experience with open-source compiler frameworks

  • Excellent hands-on C++ programming skills

  • 3+ years experience working with large-scale, long-lived codebases, including refactoring and restructuring efforts

  • Solid understanding of compiler internals, including IRs, passes, build systems, and toolchains

  • Familiarity with source-control-heavy workflows (e.g., downstream vs. upstream repos, patch queues, rebasing strategies)

  • Strong software engineering fundamentals with an emphasis on robust, maintainable developer infrastructure

  • Good communication and documentation skills; ability to collaborate across teams and time zones

Ways to stand out from the crowd:

  • Direct experience reconciling or maintaining downstream forks of open-source projects

  • Experience building developer productivity tools, CI infrastructure, or large-scale automation

  • Practical experience applying AI or ML-based tools to improve engineering workflows

  • Background in GPU programming, CUDA, or parallel programming models

  • Familiarity with deep learning frameworks and performance-sensitive workloads on NVIDIA GPUs

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, 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.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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