Your role will involve working closely with our custom-built Machine Learning accelerators ... Key job responsibilities As a ML Compiler Engineer II on the Neuron Compiler Automated Reasoning ...
Your role will involve working closely with our custom-built Machine Learning accelerators ... Key job responsibilities As a ML Compiler Engineer II on the Neuron Compiler Automated Reasoning ...
Senior Deep Learning Compiler Engineer
Austin, TX · On-site
$103K - $142K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...
Senior Deep Learning Compiler Engineer
Austin, TX · On-site
$103K - $142K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...
OR · On-site
$104K - $143K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...
Senior Deep Learning Compiler Engineer
Santa Clara, CA · On-site
$122K - $168K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...
Senior Deep Learning Compiler Engineer
Santa Clara, CA · On-site
$122K - $168K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...
Senior Deep Learning Compiler Engineer
Santa Clara, CA · On-site
$122K - $168K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...
Senior Deep Learning Compiler Engineer
Santa Clara, CA · On-site
$122K - $168K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...
Senior Deep Learning Compiler Engineer
Redmond, WA · On-site
$117K - $160K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...
Senior Deep Learning Compiler Engineer
Redmond, WA · On-site
$117K - $160K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...
Deep Learning Compiler Engineer (New Grad)
Burlingame, CA · On-site
$120K - $160K/yr
Unlike other neural engines in the industry today that can only accelerate a portion of a machine ... The Role As a new-grad Deep Learning Compiler Engineer, you will work on CGC, Quadric's neural ...
Deep Learning Compiler Engineer (New Grad)
Burlingame, CA · On-site
$120K - $160K/yr
Unlike other neural engines in the industry today that can only accelerate a portion of a machine ... The Role As a new-grad Deep Learning Compiler Engineer, you will work on CGC, Quadric's neural ...
Deep Learning Compiler Engineer (New Grad)
Burlingame, CA · On-site
$120K - $160K/yr
Unlike other neural engines in the industry today that can only accelerate a portion of a machine ... The Role As a new-grad Deep Learning Compiler Engineer, you will work on CGC, Quadric's neural ...
Deep Learning Compiler Engineer (New Grad)
Burlingame, CA · On-site
$120K - $160K/yr
Unlike other neural engines in the industry today that can only accelerate a portion of a machine ... The Role As a new-grad Deep Learning Compiler Engineer, you will work on CGC, Quadric's neural ...
This can involve anything from digging through PyTorch and machine learning models to determining how to map operations on to our underlying hardware. Responsibilities * Lead compiler engineering ...
This can involve anything from digging through PyTorch and machine learning models to determining how to map operations on to our underlying hardware. Responsibilities * Lead compiler engineering ...
... 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 ...
... 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 ...
... 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 ...
... 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 ...
... 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 ...
... 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 ...
Senior Compiler Engineer - DL
Santa Clara, CA · On-site
$122K - $168K/yr
... Engineer to join their team ... The role involves analyzing deep learning networks, developing compiler optimization algorithms ...
New
Senior Compiler Engineer - DL
Santa Clara, CA · On-site
$122K - $168K/yr
... Engineer to join their team ... The role involves analyzing deep learning networks, developing compiler optimization algorithms ...
New
OR · On-site
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 ...
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 ...
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 ...
US 2026 Software - Compiler Engineer Intern
San Jose, CA · On-site
$35 - $45/hr
About the Role We are seeking a Compiler Engineer intern to support the Compiler Software team in developing the compiler and runtime for in-memory machine learning accelerators at TetraMem.
US 2026 Software - Compiler Engineer Intern
San Jose, CA · On-site
$35 - $45/hr
About the Role We are seeking a Compiler Engineer intern to support the Compiler Software team in developing the compiler and runtime for in-memory machine learning accelerators at TetraMem.
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 ...
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 ...
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 ...
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 ...
About the Role We are seeking a Compiler Engineer intern to support the Compiler Software team in developing the compiler and runtime for in-memory machine learning accelerators at TetraMem.
Quick apply
About the Role We are seeking a Compiler Engineer intern to support the Compiler Software team in developing the compiler and runtime for in-memory machine learning accelerators at TetraMem.
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 ...
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 ...
Machine Learning Compiler Engineer information
See salary details
$31.5K - $46.2K
1% of jobs
$46.2K - $61K
1% of jobs
$61K - $75.7K
5% of jobs
$75.7K - $90.4K
6% of jobs
$102.6K is the 25th percentile. Wages below this are outliers.
$90.4K - $105.1K
14% of jobs
$105.1K - $119.9K
14% of jobs
The median wage is $127.2K / yr.
$119.9K - $134.6K
18% of jobs
$134.6K - $149.3K
14% of jobs
$152.3K is the 75th percentile. Wages above this are outliers.
$149.3K - $164K
12% of jobs
$164K - $178.8K
11% of jobs
$178.8K - $193.5K
5% of jobs
$31.5K
$128.8K
$193.5K
How much do machine learning compiler engineer jobs pay per year?
As of Jun 7, 2026, the average yearly pay for 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 a Machine Learning Compiler Engineer job?
A Machine Learning Compiler Engineer focuses on optimizing and building compilers that translate high-level machine learning models into efficient code runnable on specialized hardware (e.g., GPUs, TPUs). They work on improving performance, memory usage, and execution efficiency of ML workloads by designing compiler optimizations, code generation techniques, and leveraging frameworks like LLVM or MLIR. Their role bridges the gap between ML researchers and hardware engineers, ensuring models run efficiently on target platforms.
What are the typical daily responsibilities of a Machine Learning Compiler Engineer?
As a Machine Learning Compiler Engineer, your daily responsibilities often include designing and implementing new compiler optimizations, collaborating with machine learning researchers to support model deployment, and debugging performance or correctness issues in compiled code. You may participate in code reviews, write technical documentation, and conduct benchmarking to evaluate how machine learning models perform on various hardware backends. Close collaboration with hardware engineers, software architects, and data scientists is common, ensuring end-to-end solutions meet both research and production requirements. Staying updated with the latest advancements in both compiler technology and machine learning frameworks is also a key aspect of the role.
What are the key skills and qualifications needed to thrive in the Machine Learning Compiler Engineer position, and why are they important?
A Machine Learning Compiler Engineer needs a deep understanding of computer science fundamentals, compiler theory, and experience with machine learning frameworks, often supported by a relevant degree in computer science or engineering. Proficiency with tools such as LLVM, TVM, MLIR, and languages like C++, Python, and CUDA is typically required, and familiarity with hardware architectures is a plus. Strong problem-solving, teamwork, and communication skills are essential for collaborating with cross-functional teams and addressing complex system issues. These capabilities are important for designing and optimizing compilers that enable scalable and efficient deployment of machine learning models on diverse hardware platforms.
More about Machine Learning Compiler Engineer jobs
What cities are hiring for Machine Learning Compiler Engineer jobs? Cities with the most Machine Learning Compiler Engineer job openings:
What are the most commonly searched types of Machine Learning Compiler Engineer jobs? The most popular types of Machine Learning Compiler Engineer jobs are:
What states have the most Machine Learning Compiler Engineer jobs? States with the most job openings for Machine Learning Compiler Engineer jobs include:
What job categories do people searching Machine Learning Compiler Engineer jobs look for? The top searched job categories for Machine Learning Compiler Engineer jobs are:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 3 days ago
Amazon rating
7.4
Based on 6,820 frontline employees who took The Breakroom Quiz
7th of 39 rated national retailers
Job description
The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in developing a state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI.
Key job responsibilities
As a ML Compiler Engineer II on the Neuron Compiler Automated Reasoning Group, you will develop and maintain tooling for best-in-class technology for raising the bar of the Neuron Compiler's accuracy and reliability. You will help lead the efforts building fuzzers and specification synthesis tooling for our LLVM-based compiler. You will work in a team with a science focus, and strive to push what we do to the edge of what is known, to best deliver our customers.
Strong software development skills using C++/Python are critical to this role.
A science background in compiler development is strongly preferred. A background in Machine Learning and AI accelerators is preferred, but not required.
In order to be considered for this role, candidates must be currently located or willing to relocate to Seattle (Preferred), Cupertino, Austin, or Toronto.
BASIC QUALIFICATIONS
- 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 2+ years of experience in developing compiler features and optimizations
- Proficiency in C++ and Python programming, applied to compiler or verification projects
- Familiarity with LLVM, including knowledge of abstract interpretation and polyhedral domains
- Demonstrated scientific approach to software engineering problems
PREFERRED QUALIFICATIONS
- Masters degree or PhD in computer science or equivalent
- Experience with deep learning frameworks like TensorFlow or PyTorch
- Understanding of large language model (LLM) training processes
- Knowledge of CUDA programming for GPU acceleration
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
Key job responsibilities
As a ML Compiler Engineer II on the Neuron Compiler Automated Reasoning Group, you will develop and maintain tooling for best-in-class technology for raising the bar of the Neuron Compiler's accuracy and reliability. You will help lead the efforts building fuzzers and specification synthesis tooling for our LLVM-based compiler. You will work in a team with a science focus, and strive to push what we do to the edge of what is known, to best deliver our customers.
Strong software development skills using C++/Python are critical to this role.
A science background in compiler development is strongly preferred. A background in Machine Learning and AI accelerators is preferred, but not required.
In order to be considered for this role, candidates must be currently located or willing to relocate to Seattle (Preferred), Cupertino, Austin, or Toronto.
BASIC QUALIFICATIONS
- 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 2+ years of experience in developing compiler features and optimizations
- Proficiency in C++ and Python programming, applied to compiler or verification projects
- Familiarity with LLVM, including knowledge of abstract interpretation and polyhedral domains
- Demonstrated scientific approach to software engineering problems
PREFERRED QUALIFICATIONS
- Masters degree or PhD in computer science or equivalent
- Experience with deep learning frameworks like TensorFlow or PyTorch
- Understanding of large language model (LLM) training processes
- Knowledge of CUDA programming for GPU acceleration
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
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