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Full Time Machine Learning Compiler Engineer Jobs

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 ...

CI Infrastructure Engineer

Raleigh, NC · On-site

$76K - $102K/yr

Qualcomm Technologies, Inc. is seeking an experienced CI Infrastructure Engineer to own and evolve the continuous integration infrastructure that supports their Machine Learning compiler stack. The ...

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/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 ...

Deep Learning Compiler Engineer

Burlingame, CA · 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 ...

CI Infrastructure Engineer

Raleigh, NC · On-site

$76K - $102K/yr

Design, create, and maintain Jenkins pipelines for building, testing, and validating a Machine Learning compiler * Collaborate with compiler engineers to integrate new tests, workflows, and tooling ...

The Principal Compiler Engineer - ML Systems will drive innovation in compiler infrastructure and ... Preferred : • Experience with MLIR. • Familiarity with machine learning models and frameworks ...

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

Redmond, WA

$137K - $180K/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

Full Time Machine Learning Compiler Engineer information

See salary details

$31.5K

$128.8K

$193.5K

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

As of Aug 6, 2026, the average yearly pay for full time machine learning compiler engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

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

AspectFull Time Machine Learning Compiler EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related; knowledge of compiler design and ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong programming and analytical skills
Work EnvironmentSoftware development teams, focusing on compiler optimization and ML infrastructureData analysis teams, focusing on data modeling, visualization, and insights
Industry UsageTech companies, AI startups, hardware firmsFinance, healthcare, marketing, and tech sectors

The Full Time Machine Learning Compiler Engineer primarily develops and optimizes compilers for ML models, requiring deep technical knowledge of compiler architecture. In contrast, Data Scientists analyze data to generate insights and build models without focusing on compiler development. Both roles are essential in AI-driven industries but serve different technical and business functions.

More about Full Time Machine Learning Compiler Engineer jobs
What are the most commonly searched types of Machine Learning Compiler Engineer jobs? The most popular types of Machine Learning Compiler Engineer jobs are:
Infographic showing various Full Time Machine Learning Compiler Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs

Amazon

Cupertino, CA • On-site

Full-time

Re-posted 29 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,062 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Do you want to be part of AI revolution. At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to AI hardware and software infrastructure. In order to deliver on that vision, we've created innovative software and hardware solutions that make it possible.

AWS Neuron is the SDK that optimizes the performance of complex ML models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads.
This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML models written in ML frameworks (e.g, PyTorch, TensorFlow, and JAX) to be deployed AWS Inferentia and Trainium based servers in the Amazon cloud. You will be responsible for solving hard compiler optimization problems to achieve optimum performance for variety of ML model families including massive scale large language models like Llama, Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models

You will be required to understand how these models work inside-out to make informed decisions on how to best coax the compiler to generate optimal implementation instruction. You will leverage your technical communications skill to partner with internal and external customers/stakeholders and will be involved in pre-silicon design, bringing new products/features to market, ultimately, making Neuron compiler highly performant and easy-to-use.
Experience in object-oriented languages like C++/Java is a must, experience with compilers or building ML models using ML frameworks on accelerators (e.g., GPUs) is preferred but not required


Experience with technologies like OpenXLA, StableHLO, MLIR will be added bonus!
Explore the product and our history. https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index
htmlhttps://aws.amazon.com/machine-learning/neuron/
https://github.com/aws/aws-neuron-sdk https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
Key job responsibilities
You will design, implement, test, deploy and maintain innovative software solutions to transform Neuron compiler's performance, stability and user-interface

You will work side by side with chip architects, runtime/OS engineers, scientists and ML Apps teams to seamlessly deploy state of the art ML models from our customers on AWS accelerators with optimal cost/performance benefits. You will have opportunity to work with open-source software (e.g., StableHLO, OpenXLA, MLIR) to pioneer optimizing advanced ML workloads on AWS software and hardware. You will also work on building innovative features that will deliver best possible experiences for our customers - developers across the globe.
A day in the life
As you design and code solutions to help our team drive efficiencies in compiler architecture, you'll create compiler optimization and verification passes, build features surface features and peculiarities of AWS accelerators to developers, implement tools to analyze numerical errors, and resolve the root cause of compiler defects

You'll also participate in design discussions, code review, and communicate with internal (other Neuron SDK and Amazon wide teams) and external stakeholders (open-source communities). Lastly, work in a startup-like development environment, where you're always working on the most important stuff.
About the team
About the Team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship

Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply

If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
About AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious

Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture

When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US