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Ml Compiler Engineer Jobs (NOW HIRING)

Compiler Engineer

San Jose, CA · On-site

$200K - $300K/yr

Innovative in ways to optimize the speed and efficiency of ML model inference * Collaborate with ... MS or PhD in Computer Engineering/CS/EE * 5+ years industry experience as a compiler engineer or ...

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139.40K - $183.80K/yr

The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud ... You: As a Sr Machine Learning Compiler Engineer III on the Amazon Neuron team, you will be a ...

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139.40K - $183.80K/yr

The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud ... You: As a Sr Machine Learning Compiler Engineer III on the Amazon Neuron team, you will be a ...

Lead Compiler Engineer

Austin, TX · On-site

$250K - $315K/yr

We are seeking a talented ML Compiler Engineer to join our engineering team and lead the development of our compiler. This role focuses on compiler development for our novel LLM accelerator ...

What you'll work on (Compiler Engineer) Lower and optimize deep neural networks for a custom ... with ML and classical workloads (e.g. DNNs, CV, DSP) If this position sounds of interest then ...

New

Lead Compiler Engineer

San Jose, CA · On-site

$120.10K - $158.20K/yr

... ML frameworks (e.g., PyTorch, JAX, Triton) • Build and maintain test infrastructure to ensure ... systems programming or compiler development • Expert-level proficiency in Python and C • ...

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Ml Compiler Engineer information

See salary details

$33K

$89.2K

$142K

How much do ml compiler engineer jobs pay per year?

As of Jun 3, 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 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 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 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 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:
Machine Learning Compiler Engineer

Machine Learning Compiler Engineer

Qualcomm

New York, NY • On-site

Full-time

Posted 29 days ago


Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

4th of 185 rated software companies


Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
Job Description
If you're interested in advancing and applying mathematics, programming languages theory, and advanced algorithms to program optimization for cutting-edge machine learning accelerators, then you really want to be talking to us!
The Compiler Labs unit in Qualcomm AI Software department is looking for ML Compiler engineers to join our team. We work tactically on improving existing ML compilers and strategically on developing new and innovative ML compilers.
Our technical approach to compilers emphasizes powerful representations for precisely and compactly modeling programs and the optimization challenges and using advanced mathematics and algorithms for performing optimizations.
We are also solid in using "old school" compiler technologies as they apply to contemporary ML challenges, and in meticulous software engineering to produce beautiful compilers. We are also keen about seeing our compilers used and having large impacts on Qualcomm's business.
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 GPUs, low-power ML accelerators, and CPU accelerators.
This job description spans multiple levels, from entry to experienced. Our team is a good home for compiler developers with advanced degrees, and we have solid mentoring and give substantial responsibility quickly for entry level engineers. The team is also open to multiple locations - San Diego/Santa Clara/Raleigh.
Preferred Qualifications:
• Master's degree in Computer Science, Engineering, Electrical Engineering, or related field.
• Experience with compiler development and computer architecture
ML experience
• A degree in the field of computer science or applied mathematics
• Experience with software engineering
• Solid intellectual ability, motivation, and a strong history of achievement
• Excellent oral and written communication skills
• Experience with MLIR, MLIR Dialects (LinAlg, Affine), Pytorch 2.0, TVM, Triton, and/or LLVM
• SYCL experience
• ML applications and ML optimization experience
• ML architecture experience
• High performance computing experience
• Polyhedral compiler optimization experience
• Loop transformation and vectorization experience
• GPU programming, parallel programming experience
• General optimization experience
Principal Duties and Responsibilities:
• Work on a wide range of ML compilers
• Improve ML compiler optimization capabilities through benchmark analysis and profiling
• Innovate new ML compiler and optimization algorithms
• Upstream compiler algorithms to open-source compiler projects
• Author research publications and represent the company in conferences and industry forums
• For senior levels - Lead and manage projects while doing substantial technical work
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$200,800.00 - $301,200.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.

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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985