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Nvidia Research Scientist Jobs (NOW HIRING)

Nvidia

Operations Research Scientist

Santa Clara, CA · On-site

For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics ... We are now looking for an Operations Research Scientist to join our information technology ...

New

Nvidia

Senior Robotics Research Scientist

Seattle, WA · On-site

$112K - $142K/yr

NVIDIA is at the forefront of the AI and robotics revolution, and our robotics teams are on a ... These scientists must have exceptional research and engineering skills, a proven research track ...

Nvidia

Senior Robotics Research Scientist

Seattle, WA · On-site

$112K - $142K/yr

NVIDIA is at the forefront of the AI and robotics revolution, and our robotics teams are on a ... These scientists must have exceptional research and engineering skills, a proven research track ...

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Nvidia Research Scientist information

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How much do nvidia research scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for nvidia research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Nvidia Research Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Senior Research Scientist, Fundamental Generative AI

Santa Clara, CA • On-site

NVIDIA
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about NVIDIAexternal

$115K - $147K/yr

Full-time

Re-posted 11 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
NVIDIA is searching for a world-class generative AI researcher to join the fundamental generative AI research team at NVIDIA Research. The role focuses on advancing generative AI methods for biomolecular design and conducting groundbreaking research within a collaborative team. You will be responsible for researching, designing, and implementing novel generative AI methods while publishing original research and collaborating with various teams.
Responsibilities:
• Research, design, and implement novel, large-scale generative AI methods.
• Publish original research.
• Collaborate with team members, research teams, as well as product teams.
• Speak at conferences and events.
• Transfer technology to product groups.
Qualifications:
Required:
• A Ph.D. in Computer Science/Engineering, Statistics, etc. (or equivalent experience). 2+ years of relevant industry or postdoc research experience.
• Excellent knowledge of the theory and practice of generative AI.
• Experience in building generative models for molecules, molecular dynamics, proteins, RNA, or other scientific data.
• Excellent programming skills in some prototyping environments such as Python; C++ and parallel programming (e.g., CUDA).
• Knowledge of deep learning frameworks, such as PyTorch.
• Outstanding research track record.
• Excellent interpersonal skills.
Company:
NVIDIA designs graphics processing units and accelerated computing hardware for AI and high-performance computing applications. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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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

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