... from leading frameworks such as PyTorch, TensorFlow, and JAX ... Your role will involve working closely with our custom-built Machine Learning accelerators ...
... from leading frameworks such as PyTorch, TensorFlow, and JAX ... Your role will involve working closely with our custom-built Machine Learning accelerators ...
Senior AI Compiler Engineer
Austin, TX · On-site
$103.60K - $142.20K/yr
We are seeking a Machine Learning Compiler Engineer with deep expertise in compiler technologies to ... From the Crowd: * Familiarity with reinforcement learning, genetic/evolutionary algorithms ...
Senior AI Compiler Engineer
Austin, TX · On-site
$103.60K - $142.20K/yr
We are seeking a Machine Learning Compiler Engineer with deep expertise in compiler technologies to ... From the Crowd: * Familiarity with reinforcement learning, genetic/evolutionary algorithms ...
Senior Deep Learning Compiler Engineer
Austin, TX · On-site
$103.60K - $142.20K/yr
They are seeking a Deep Learning Compiler Engineer to analyze deep learning networks and develop compiler optimization algorithms, collaborating with various teams to enhance deep learning software ...
Senior Deep Learning Compiler Engineer
Austin, TX · On-site
$103.60K - $142.20K/yr
They are seeking a Deep Learning Compiler Engineer to analyze deep learning networks and develop compiler optimization algorithms, collaborating with various teams to enhance deep learning software ...
Senior Deep Learning Compiler Engineer
Santa Clara, CA · On-site
$122.70K - $168.50K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... Ways to stand out from the crowd: * Proficient in CPU and/or GPU architecture. CUDA or OpenCL ...
Senior Deep Learning Compiler Engineer
Santa Clara, CA · On-site
$122.70K - $168.50K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... Ways to stand out from the crowd: * Proficient in CPU and/or GPU architecture. CUDA or OpenCL ...
$104.40K - $143.40K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... Ways to stand out from the crowd: * Proficient in CPU and/or GPU architecture. CUDA or OpenCL ...
Senior Deep Learning Compiler Engineer
Austin, TX · On-site
$103.60K - $142.20K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... Ways to stand out from the crowd: * Proficient in CPU and/or GPU architecture. CUDA or OpenCL ...
Senior Deep Learning Compiler Engineer
Austin, TX · On-site
$103.60K - $142.20K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... Ways to stand out from the crowd: * Proficient in CPU and/or GPU architecture. CUDA or OpenCL ...
Senior Deep Learning Compiler Engineer
Santa Clara, CA · On-site
$122.70K - $168.50K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... Ways to stand out from the crowd: * Proficient in CPU and/or GPU architecture. CUDA or OpenCL ...
Senior Deep Learning Compiler Engineer
Santa Clara, CA · On-site
$122.70K - $168.50K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... Ways to stand out from the crowd: * Proficient in CPU and/or GPU architecture. CUDA or OpenCL ...
Senior Deep Learning Compiler Engineer
Redmond, WA · On-site
$117K - $160.70K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... Ways to stand out from the crowd: * Proficient in CPU and/or GPU architecture. CUDA or OpenCL ...
Senior Deep Learning Compiler Engineer
Redmond, WA · On-site
$117K - $160.70K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... Ways to stand out from the crowd: * Proficient in CPU and/or GPU architecture. CUDA or OpenCL ...
Compiler Engineer
San Jose, CA · On-site
... machine learning and hardware teams Qualifications : Required : • MS or PhD in Computer Engineering/CS/EE • 5+ years industry experience as a compiler engineer or developer • Experience ...
Compiler Engineer
San Jose, CA · On-site
... machine learning and hardware teams Qualifications : Required : • MS or PhD in Computer Engineering/CS/EE • 5+ years industry experience as a compiler engineer or developer • Experience ...
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 ... From time to time, the team and company gather for onsite meetings and offsite events. These in ...
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 ... From time to time, the team and company gather for onsite meetings and offsite events. These in ...
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 ...
Compiler Engineer
San Jose, CA · On-site
$200K - $300K/yr
Collaborate with machine learning and hardware teams Requirements: * MS or PhD in Computer Engineering/CS/EE * 5+ years industry experience as a compiler engineer or developer * Experience developing ...
Compiler Engineer
San Jose, CA · On-site
$200K - $300K/yr
Collaborate with machine learning and hardware teams Requirements: * MS or PhD in Computer Engineering/CS/EE * 5+ years industry experience as a compiler engineer or developer * Experience developing ...
We pioneered cloud computing and never stopped innovating - that's why customers from the most ... When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
We pioneered cloud computing and never stopped innovating - that's why customers from the most ... When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
The Principal Compiler Engineer - ML Systems will lead compiler engineering efforts to enhance ML ... Preferred : • Experience with MLIR. • Familiarity with machine learning models and frameworks ...
The Principal Compiler Engineer - ML Systems will lead compiler engineering efforts to enhance ML ... Preferred : • Experience with MLIR. • Familiarity with machine learning models and frameworks ...
... from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute ... Achieving success at work should never come at the expense of sacrifices at home, which is why we ...
... from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute ... Achieving success at work should never come at the expense of sacrifices at home, which is why we ...
... from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute ... Achieving success at work should never come at the expense of sacrifices at home, which is why we ...
... from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute ... Achieving success at work should never come at the expense of sacrifices at home, which is why we ...
CI Infrastructure Engineer
Raleigh, NC · On-site
$76.80K - $102.50K/yr
... Machine Learning compiler stack. The role involves ensuring the reliability, performance, and ... from product defects • Partner with developers to triage and resolve failures promptly • Build ...
CI Infrastructure Engineer
Raleigh, NC · On-site
$76.80K - $102.50K/yr
... Machine Learning compiler stack. The role involves ensuring the reliability, performance, and ... from product defects • Partner with developers to triage and resolve failures promptly • Build ...
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 ...
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 ...
From Home 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 from home machine learning compiler engineer jobs pay per year?
As of May 30, 2026, the average yearly pay for from home 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 From Home Machine Learning Compiler Engineer vs From Home Data Scientist?
| Aspect | From Home Machine Learning Compiler Engineer | From Home Data Scientist |
|---|---|---|
| Required Skills | Programming (C++, Python), compiler design, ML frameworks | Statistics, data analysis, programming (Python, R), visualization |
| Work Environment | Remote, software development teams, tech companies | Remote, analytics teams, research institutions |
| Industry Usage | Tech, AI, hardware optimization | Tech, finance, healthcare, research |
While both roles often work remotely and require programming skills, the Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Data Scientist analyzes data to generate insights. They serve different functions within tech and research industries but may collaborate on AI projects.
More about From Home Machine Learning Compiler Engineer jobs
What cities are hiring for From Home Machine Learning Compiler Engineer jobs? Cities with the most From Home 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 From Home Machine Learning Compiler Engineer jobs? States with the most job openings for From Home Machine Learning Compiler Engineer jobs include:
What job categories do people searching From Home Machine Learning Compiler Engineer jobs look for? The top searched job categories for From Home Machine Learning Compiler Engineer jobs are:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
This job post has expired today. Applications are no longer accepted.
Amazon rating
7.4
Based on 6,788 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