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Freelance Nvidia Deep Learning Jobs (NOW HIRING)

NVIDIA

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

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

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 ...

Nvidia Corporation

Senior Deep Learning Engineer

Redmond, WA · On-site

$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

Manager, Deep Learning Algorithms

Santa Clara, CA · On-site

$133K - $136K/yr

NVIDIA is seeking an engineering manager to lead engineering activities related to productizing Deep Learning models. In this role, you will mentor engineers, coordinate projects, and collaborate ...

NVIDIA

Manager, Deep Learning Algorithms

Santa Clara, CA · On-site

$133K - $136K/yr

NVIDIA is seeking an engineering manager to lead engineering activities related to productizing Deep Learning models. In this role, you will mentor engineers, coordinate projects across different ...

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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 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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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:
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What job categories do people searching Freelance Nvidia Deep Learning jobs look for? The top searched job categories for Freelance Nvidia Deep Learning jobs are:
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.

Solutions Architect, Industry Accounts

NVIDIA AI

Leavenworth, WA • On-site

$64 - $84.50/hr

Full-time

Posted 8 days ago

Job description

Job Summary:
NVIDIA AI is a leading company in the technology sector known for its innovative accelerated computing technologies. They are looking for a dynamic Solutions Architect to engage with developers and enterprise customers in the AI space, focusing on deep learning and data science to support the growth of AI startups and enhance developer adoption of NVIDIA's platforms.
Responsibilities:
• Making AI Startups successful, helping accelerate their apps/platforms using the latest SDKs and technologies.
• Collaborating deeply with NVIDIA deep learning engineers, SDK product and framework teams, Deep Learning Institute (DLI), and NV Research to ensure developer enablement materials are best-in-class and fully aligned with technology roadmaps.
• Championing the use of DL (deep learning) and Data Science across the growing portfolio of AI startups.
• Developing world-class materials to educate developers. Assets include sample applications, tutorials, white papers, technical blogs, trainings and presentations to help developers adopt NVIDIA’s SDKs and key technologies.
• Contributing to the development of hands-on training materials and exercises used in DLI courses and becoming a certified instructor.
Qualifications:
Required:
• BS/MS in Engineering, Computer Engineering, or Computer Science - or equivalent experience.
• 5+ years experience in an externally facing technical role.
• Solid understanding of standard methodologies for solution design and implementation based on frameworks and platforms that are GPU-accelerated.
• Detailed understanding of NVIDIA's software stack from drivers to SDKs and APIs.
• Experience presenting to technical audiences and creating technical content for developers.
• Passionate about getting things done quickly.
• Excellent written and verbal communication skills.
• Confirmed ability to handle multiple projects simultaneously.
• Ability to work independently with minimal direction.
• Please be prepared to provide samples of your work where you have created and delivered public-facing technical content, made forum contributions, etc.
Preferred:
• History of engaging and nurturing developers.
• Hands-on experience with NVIDIA SDKs and key technologies (e.g. Riva, Triton, RAPIDS, cuDNN, CUDA, DL/ML Frameworks).
• 3+ years of machine learning or deep learning experience.
• In-depth knowledge of modern deep learning software design, data science workflows, and applications.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, Keras, or others.
Company:
Explore the latest breakthroughs made possible with AI. Founded in , the company is headquartered in Santa Clara, CA, US, , with a team of 10001+ employees. The company is currently Late Stage.

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