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Freelance Nvidia Deep Learning Jobs (NOW HIRING)

Nvidia

Senior Deep Learning Software Engineer

Santa Clara, CA · Hybrid

$143.90K - $189.70K/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

$137.20K - $180.90K/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

OR

$104.40K - $143.40K/yr

NVIDIA's Deep Learning Frameworks Teams seek Senior Software Engineers to create systems for continuous integration, testing, and delivery of advanced software stacks. Join a diverse, ambitious team ...

Nvidia

Senior Deep Learning Engineer

Santa Clara, CA

$65 - $83.75/hr

At NVIDIA, we are at the forefront of advancing the capabilities of artificial intelligence. We are seeking an ambitious and forward-thinking senior deep learning engineer to contribute to the ...

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

As of May 30, 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 Software Test Development Engineer - Deep Learning

Senior Software Test Development Engineer - Deep Learning

Nvidia

Santa Clara, CA • On-site

$129.80K - $168.50K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We are looking for a Software Test development engineer in NVIDIA's Deep Learning SWQA team. The position is in NVIDIA Deep Learning and AI Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA's Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios. We collaborate with multiple AI product teams to develop new products; derive and improve complex test plans; and improve our workflow processes for a diverse range of GPU computing platforms.

You should grow with being in the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness and collaboration. You should constantly champion and implement efficiency improvements across your domain. Join the team which is building software which will be used by the entire world!

What you'll be doing:

  • Work closely with global multi-functional teams to understand the test requirements and take ownership of product quality.

  • Plan/design/implement/report/automate test plan/test case/test reports.

  • Run bug lifecycle and co-work with inter-groups to work towards solutions.

  • Automate test cases and assist in the architecture, crafting and implementing of test frameworks.

  • In-house repro and verify customer issues/fixes.

What we need to see:

  • BS or higher in CS/EE/CE or equivalent experience.

  • 6+ years of software quality assurance or test automation background with knowledge of test infrastructure and strong analysis skills.

  • Scripting language (Python, Perl, Bash) knowledge and UNIX/Linux experience.

  • Good C/C++ software development or test development experience.

  • Good user/development experiences of virtualization like VM & Docker container.

  • Understanding and working knowledge with any Deep Learning Framework and models especially in end-to-end customer scenarios.

  • Experience in validating Deep Learning software and Deep Learning models.

  • Experience in using AI development tools for test plans creation, test cases development and test cases automation.

  • Able to balance conflicting/changing priorities and maintain a positive attitude while experiencing ambitious and dynamic schedules.

  • Excellent English written and oral communication skills.

Ways to stand out from the crowd:

  • Familiarity with NVIDIA GPU hardware products (Tesla, Tegra, DGX, etc.); working knowledge of NVIDIA GPU Computing (CUDA) and CUDA libraries for Deep Learning.

  • Background in building models and AI-based infrastructure to improve test automation.

  • Experience with LLM inference frameworks (TRT-LLM, vLLM, SGLang, etc.) andfamiliar with running various AI workloads

  • Background in validating Data Center GPU based infrastructure (multi-GPUS, multi-nodes, cluster).

  • Experience in VectorCAST, Bullseye, Gcov, or Coverity tools.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 17, 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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