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Freelance Nvidia Deep Learning Jobs (NOW HIRING)

NVIDIA

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103.60K - $142.20K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. They are seeking a Deep Learning Compiler Engineer to analyze deep learning networks and ...

NVIDIA

Senior Deep Learning Compiler Engineer

Santa Clara, CA · On-site

$122.70K - $168.50K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. They are seeking a Deep Learning Compiler Engineer to analyze deep learning networks and ...

Nvidia

OR · On-site

$122.40K - $161.30K/yr

NVIDIA's Deep Learning Libraries Group is seeking excellent software engineers to enable the next wave of NVIDIA's highest performing deep learning libraries. The role spans multiple products ...

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How much do freelance nvidia deep learning jobs pay per hour?

As of May 31, 2026, the average hourly pay for freelance nvidia deep learning 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 Nvidia Deep Learning vs Freelance Machine Learning Engineer?

AspectFreelance Nvidia Deep LearningFreelance Machine Learning Engineer
Required CredentialsKnowledge of Nvidia frameworks, CUDA, deep learning modelsBroader ML skills, Python, frameworks like TensorFlow or PyTorch
Work EnvironmentProject-based, remote, often with tech companies or startupsSimilar, project-based or consulting roles in various industries
Industry UsagePrimarily tech, AI, and research sectors using Nvidia hardwareWide industry application including finance, healthcare, and tech

Freelance Nvidia Deep Learning specialists focus on Nvidia-specific tools and deep learning models, often working on AI projects utilizing Nvidia hardware. Freelance Machine Learning Engineers have a broader scope, working with various ML frameworks and industries. Both roles are project-based and often remote, but Nvidia Deep Learning roles require specialized knowledge of Nvidia technologies.

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Freelance Nvidia Deep Learning jobs near you
Infographic showing various Freelance Nvidia Deep Learning job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Contract. Highlights an 100% Physical job distribution, with an average salary of $99,230 per year, or $47.7 per hour.
Senior Deep Learning Compiler Engineer

Senior Deep Learning Compiler Engineer

Nvidia Corporation

Santa Clara, CA • On-site

$122.70K - $168.50K/yr

Full-time

Posted yesterday

Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world
We are looking for a Deep Learning Compiler Engineer. 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 breakthroughs in many areas, e.g. large language models, generative AIs, recommendation systems, image classification, speech recognition, etc. Our DLC has been the backbone of NVIDIA inference engine, spanning across data centers, personal devices, automotive, and robotics. The compiler must deliver leading inference performance, fast build time, reduced memory footprints, and ease of use in the forms of both Ahead-of-Tine and Just-in-Time. Join the team building the DLC which will be used by the entire deep learning community.
What you'll be doing:
  • Analyzing deep learning networks and developing compiler optimization algorithms.
  • Collaborating with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software.
  • Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler infrastructure techniques for neural networks, and other general software engineering work.

What we need to see:
  • Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience
  • 3+ years of relevant work or research experience in performance analysis and compiler optimizations.
  • Ability to work independently, define project goals and scope, and lead your own development efforts.
  • Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.
  • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.

Ways to stand out from the crowd:
  • Proficient in CPU and/or GPU architecture. CUDA or OpenCL programming experience.
  • Experiences in systems with constrained resources, such as embedded platforms, small memory size, and cross compilation.
  • Experience with the following technologies: MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as PyTorch.
  • GPU kernel generation with high performance and fast build time.
  • A track record of success in mentoring junior engineers and interns is a bonus.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 4, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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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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