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Freelance Nvidia Deep Learning Jobs (NOW HIRING)

Senior Deep Learning Engineer

Redmond, WA

$62 - $79.75/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 ...

NVIDIA's deep learning and HPC platforms have made a huge impact in various fields and are broadly used across leading academic institutions, start-ups, and industry, including the world's largest ...

OR

$104.40K - $143.40K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ...

Senior Deep Learning Compiler Engineer

Austin, TX

$103.60K - $142.20K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ...

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ...

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Freelance Nvidia Deep Learning information

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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.

More about Freelance Nvidia Deep Learning jobs
What cities are hiring for Freelance Nvidia Deep Learning jobs? Cities with the most Freelance Nvidia Deep Learning job openings:
What are the most commonly searched types of Nvidia Deep Learning jobs? The most popular types of Nvidia Deep Learning jobs are:
What states have the most Freelance Nvidia Deep Learning jobs? States with the most job openings for Freelance Nvidia Deep Learning jobs include:
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 Engineer

Senior Deep Learning Engineer

Nvidia

Redmond, WA

$62 - $79.75/hr

Full-time

Posted 28 days ago


Job description

We are now looking for a Senior Deep Learning Engineer!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 development of next-generation inference optimizations targeting frontier workloads including multi-agent AI systems, generative multimodal models, and inference-time compute scaling. In this role, you will characterize these emerging workloads and develop novel methods to optimize for them across inferencing engines, systems, and hardware architectures. Your work will span multiple tiers of the inference stack from the algorithmic to system level.

As NVIDIA makes significant strides in AI datacenters, our team holds a central role in maximizing the efficiency of our exponentially growing inference deployment needs and establishing a data-driven approach to algorithmic improvements, hardware design and system software development. We collaborate extensively with diverse teams at NVIDIA, spanning deep learning research and framework development teams, to silicon architecture. Thriving in such a high-impact, interdisciplinary environment necessitates not only technical proficiency but also a growth mindset and a pragmatic attitude - qualities that fuel our collective success in shaping the future of datacenter technology.

What You'll Be Doing:

  • Continuously keeping up to date on the latest advancements in generative AI research.

  • Analyzing and prototyping emerging workloads in multi-agent AI systems, generative multimodal models, and inference-time compute scaling.

  • Pioneering and developing optimizations for these workloads across the inference stack to push the boundaries of inferencing quality and speed on NVIDIA systems.

  • Collaborating closely with production teams to incorporate the latest advancements into cutting-edge software frameworks.


What We Need to See:

  • Master's degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied Mathematics, or related fields.

  • A strong foundation in deep learning, with a particular emphasis on generative models and inferencing.

  • A track record of at least 5 years of relevant software development experience in modern deep learning frameworks such as PyTorch.

  • Growth mindset and pragmatic attitude.

Ways to Stand Out From the Crowd:

  • Published research or noteworthy contributions to the field of deep learning, particularly in areassuch as inference-time compute, multimodal generation, AI systems, etc.

  • Experience with prototyping or deployment of agentic AI systems and/or multimodal generation models.

  • Experience with collaborating across algorithms, software and performance teams to deliver high quality solutions.

  • Familiarity with computer architecture and how it relates to AI algorithms development.


NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, 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.

Applications for this job will be accepted at least until May 31, 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