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Freelance Machine Learning Compiler Engineer Jobs

NVIDIA

Senior Compiler Engineer - AI

Redmond, WA · On-site

$117K - $160K/yr

The role involves driving innovative solutions in compilers and developer tools through applied machine learning and AI, focusing on building AI-driven compiler intelligence for production pipelines.

TetraMem Inc

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 ...

Qualcomm

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 ...

Nvidia Corporation

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 ...

quadric, Inc

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 ...

Qualcomm

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 ...

SambaNova

Principal Compiler Engineer - ML Systems

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

Nvidia

Senior Compiler Engineer - AI

Santa Clara, CA · On-site

$143K - $189K/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 ...

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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 Aug 6, 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.

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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 7% Locum Tenens, 8% As Needed, 83% Full Time, 1% Part Time, and 1% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Senior Compiler Engineer - AI

NVIDIA

Redmond, WA • On-site

$117K - $160K/yr

Full-time

Re-posted 12 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

Job Summary:
NVIDIA is a leader in computer graphics and AI technology, seeking a Senior Compiler Engineer with expertise in compiler technologies. The role involves driving innovative solutions in compilers and developer tools through applied machine learning and AI, focusing on building AI-driven compiler intelligence for production pipelines.
Responsibilities:
• Join a team driving innovative solutions in compilers and developer tools through applied machine learning and AI.
• Collaborate with world-class engineers to shape next-generation compiler capabilities that power large-scale, high-impact products.
• Design and implement end-to-end compiler optimization workflows, from feature engineering and model development to compiler integration and production rollout.
• Develop and integrate learning-based decision systems into compiler passes, code generation flows, and optimization pipelines.
• Build robust interfaces between LLM systems and compiler infrastructure for optimization recommendations, decision support, and workflow automation.
• Partner with compiler, architecture, and performance teams to validate impact on representative workloads and benchmark suites.
• Lead experimentation, evaluation, and deployment with strong standards for reliability, scalability, and performance.
Qualifications:
Required:
• BS/MS/PhD in Computer Science or a related field (or equivalent experience), with a focus on machine learning and compiler/developer tools.
• 8+ years of software engineering and AI/ML experience, preferably in tools or systems development.
• Strong knowledge of compilers, code generation, and GPU architecture.
• Demonstrated proficiency in Python and C/C++.
• Strong mathematical and scientific foundation relevant to AI/ML and compiler technologies.
• Hands-on experience with LLVM/MLIR-based compiler development, including optimization passes, code generation, or frontend integration.
• Experience building or integrating LLM-based systems, agents, or developer tooling in production environments.
Preferred:
• Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems.
• Proven track record of deploying AI/ML solutions in production and embedded environments.
• Strong experience integrating LLMs into systems workflows with attention to reliability, latency, and evaluation quality.
• Demonstrated measurable outcomes such as runtime gains, compile-time improvements, or efficiency improvements on real-world workloads.
• Publications, open-source contributions, or patents in compilers, AI/ML systems, or performance engineering.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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