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Freelance Machine Learning Compiler Engineer Jobs

Qualcomm

Machine Learning Compiler

Raleigh, NC · On-site

$160K - $240K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Lead a team of engineers focused on advancing machine learning compiler technologies for cutting-edge AI ...

NVIDIA

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/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 ...

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX

$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 ...

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA

$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 ...

Nvidia

OR

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 ...

Nvidia

Backend Compiler Engineer

Austin, TX

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 ...

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Freelance Machine Learning Compiler Engineer information

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How much do freelance machine learning compiler engineer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for freelance machine learning compiler engineer in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is the difference between Freelance Machine Learning Compiler Engineer vs Freelance Software Developer?

AspectFreelance Machine Learning Compiler EngineerFreelance Software Developer
Required SkillsMachine learning frameworks, compiler optimization, programming (C++, Python)General programming, software design, various languages
Work EnvironmentProject-based, remote, often technical teams in AI/ML industryVaried industries, remote or on-site, broad application areas
Industry UsageAI/ML companies, research labs, tech firmsTech, finance, healthcare, startups, enterprise

Freelance Machine Learning Compiler Engineers focus on optimizing ML models for deployment, requiring specialized knowledge in ML frameworks and compiler technology. Freelance Software Developers have broader roles across various industries, working on diverse software projects. Both roles are in high demand but differ in technical focus and industry application.

More about Freelance Machine Learning Compiler Engineer jobs
What cities are hiring for Freelance Machine Learning Compiler Engineer jobs? Cities with the most Freelance 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 Freelance Machine Learning Compiler Engineer jobs? States with the most job openings for Freelance Machine Learning Compiler Engineer jobs include:
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Freelance Machine Learning Compiler Engineer jobs near you
Infographic showing various Freelance Machine Learning Compiler Engineer job openings in the United States as of July 2026, with employment types broken down into 8% Locum Tenens, 8% As Needed, 82% Full Time, 1% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.
Machine Learning Compiler

Machine Learning Compiler

Qualcomm

Raleigh, NC • On-site

$160K - $240K/yr

Full-time

Re-posted 11 days ago

Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 209 rated software companies

Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
Lead a team of engineers focused on advancing machine learning compiler technologies for cutting-edge AI accelerators for the Cloud and Datacenter market. This role combines deep technical expertise with strategic leadership to deliver high-performance compiler solutions that enable next-generation AI workloads.
Key Responsibilities:
Technical Leadership:
  • Drive innovation in ML compiler optimization algorithms, leveraging advanced mathematics, programming language theory, and modern compiler techniques.
  • Oversee feature design, code reviews, and integration of compiler components into the AI software stack.
  • Ensure robust testing, profiling, and performance tuning across diverse ML models and hardware targets.

Team & Project Management:
  • Manage and mentor a team of engineers, fostering technical growth and collaboration.
  • Plan and execute projects to meet release deliverables, balancing tactical improvements with strategic roadmap goals.
  • Coordinate cross-functional efforts with hardware, architecture, and AI framework teams.
  • Strategic Vision:
    • Shape the evolution of ML compiler technology within the organization, aligning with industry trends and internal product strategies.

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Electrical Engineering, or related field and 10+ years of relevant experience; OR
  • Master's degree and 8+ years of experience; OR
  • Ph.D. and 6+ years of experience in compiler development, ML systems, or related areas.

Preferred Skills & Experience:
  • Strong background in compiler design (LLVM, optimization passes, IR transformations).
  • Expertise in ML frameworks (PyTorch, ONNX) and graph-level optimizations.
  • Familiarity with ML hardware accelerators, memory hierarchies, and performance modeling.
  • Solid C++ programming skills
  • Proven ability to lead teams and deliver complex software projects in fast-paced environments

Why Join Us?
You'll work on state-of-the-art ML compilers, applying advanced algorithms to optimize AI workloads for next-generation hardware. If you're passionate about pushing the boundaries of compiler technology and leading impactful teams, this is the role for you.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ 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 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 4+ 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:
$160,600.00 - $240,800.00
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

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