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Freelance Nvidia Deep Learning Jobs (NOW HIRING)

NVIDIA

Senior Deep Learning Software Engineer

Santa Clara, CA · Hybrid

$142K - $188K/yr

Collaborate with teams across NVIDIA to use performant kernel implementations within the automated ... Familiarity with NVIDIA's deep learning SDKs such as TensorRT. * Prior experience in writing high ...

Nvidia

Senior Deep Learning Software Engineer

Santa Clara, CA · Hybrid

$143K - $189K/yr

Collaborate with teams across NVIDIA to use performant kernel implementations within the automated ... Familiarity with NVIDIA's deep learning SDKs such as TensorRT. * Prior experience in writing high ...

Nvidia

Senior Deep Learning Software Engineer

Redmond, WA · Hybrid

$137K - $180K/yr

Collaborate with teams across NVIDIA to use performant kernel implementations within the automated ... Familiarity with NVIDIA's deep learning SDKs such as TensorRT. * Prior experience in writing high ...

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

As of Jun 20, 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 June 2026, with employment types broken down into 2% As Needed, 53% Full Time, and 45% Part Time. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.
Senior Deep Learning Software Engineer - Autonomous Vehicles

Senior Deep Learning Software Engineer - Autonomous Vehicles

NVIDIA

Santa Clara, CA • On-site

$142K - $188K/yr

Other

Posted 26 days ago

Job description

We are looking for outstanding Deep Learning Software Engineers to develop and productize NVIDIA's deep learning solutions in autonomous driving vehicles. As a member of our Solution Engineering-Automotive Machine Learning team, you will apply ground breaking NVIDIA deep learning model training/inference software libraries for deployment on NVIDIA's hardware architecture. You will develop new deep learning architectures, train deep learning models, and compile and optimize DNN graphs. As a part of this role, you will be building a close technical relationship with our automotive partners during product development and coordinate with the architecture and software teams to develop the best solution for partners working on our platforms.

What you'll be doing:

  • Train, fine-tune, optimize and customize perception DNNs in low precision (FP16/INT8)

  • Apply sophisticated quantization of DNNs

  • Improve DNN architectures using ML algorithms on NVIDIA GPUs or DLAs

  • Continuously improve inference speed, accuracy and power consumption of DNNs

  • Stay up to date with the latest research and innovations in deep learning, implement and experiment with new insights to improve NVIDIA's automotive DNNs.

What we need to see:

  • MS or PhD degree in computer science, computer vision, computer architecture or equivalent experience in technical field

  • 5+ years of work experience in software development.

  • 2+ years of experience in developing or using deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX, etc.)

  • Experience with solving a computer vision task using deep neural networks, such as object detection, scene parsing, image segmentation.

  • Strong Python and/or C/C++ programming skills

  • Proven technical foundation in CPU and GPU architectures, containers (nvidia-docker), numeric libraries, modular software design

  • Familiar with CNNs and Transformer architectures

  • Willing to take action and have strong analytical skills.

  • Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very sophisticated projects.

Ways to stand out from the crowd:

  • Experience with low precision inference, quantization, compression of DNNs

  • Experience with NVIDIA software libraries such as CUDA and TensorRT

  • Open source project ownership or contribution, healthy GitHub repositories, guiding and/or mentoring experience

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people in the world working for us. If you're creative and passionate about developing technologies for autonomous driving, we want to hear from you!

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 for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .

Applications for this job will be accepted at least until June 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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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