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Nvidia Research Jobs (NOW HIRING)

Senior Research Scientist, Circuits

Santa Clara, CA · On-site

$115K - $147K/yr

NVIDIA Research is seeking world-class circuit researchers to contribute to the exploration of future high-performance, low-power circuit technologies and development of prototype circuits. If you ...

Senior Research Scientist, Circuits

Durham, NC · On-site

$95K - $121K/yr

NVIDIA Research is seeking world-class circuit researchers to contribute to the exploration of future high-performance, low-power circuit technologies and development of prototype circuits. If you ...

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Nvidia Research information

What is an Nvidia Research job?

An Nvidia Research job involves conducting cutting-edge research in areas like artificial intelligence, computer graphics, and high-performance computing. Researchers work on innovative projects that push the boundaries of technology, often collaborating with academia and industry partners. These roles typically require expertise in machine learning, deep learning, hardware acceleration, or related fields. Team members publish papers, develop prototypes, and contribute to Nvidia's long-term technological advancements.

What are the key skills and qualifications needed to thrive in the Nvidia Research position, and why are they important?

Excelling in Nvidia Research typically requires a PhD or advanced degree in computer science, electrical engineering, or a related field, with strong expertise in machine learning, computer vision, and deep learning algorithms. Familiarity with programming languages such as Python and C++, and experience using frameworks like TensorFlow or PyTorch, as well as CUDA for GPU computing, are also important. Excellent problem-solving abilities, creativity, and effective collaboration and communication skills help set candidates apart. These skills are crucial for conducting innovative research, collaborating with multidisciplinary teams, and advancing the field of AI and graphics technology.

What opportunities for career growth and advancement are available within Nvidia Research?

Nvidia Research offers a dynamic environment where researchers can grow by taking on increasingly complex projects, publishing groundbreaking work, and collaborating with world-class experts. Many team members advance to senior and principal researcher roles or transition into leadership positions overseeing multi-disciplinary research initiatives. Nvidia also encourages continuous learning through conferences, workshops, and internal seminars, which further support professional development. As the company continues to expand its research footprint, there are ample opportunities to shape new areas of innovation and make a lasting impact on both the organization and the industry.

More about Nvidia Research jobs
What cities are hiring for Nvidia Research jobs? Cities with the most Nvidia Research job openings:
What are the most commonly searched types of Nvidia Research jobs? The most popular types of Nvidia Research jobs are:
What states have the most Nvidia Research jobs? States with the most job openings for Nvidia Research jobs include:
Infographic showing various Nvidia Research job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 45% As Needed, 47% Full Time, 6% Nights, and 1% Summer. Highlights an 85% Physical, 7% Hybrid, and 8% Remote job distribution.
Senior Research Scientist, Fundamental Generative AI

Senior Research Scientist, Fundamental Generative AI

NVIDIA

Santa Clara, CA • On-site

$115K - $147K/yr

Full-time

Re-posted 13 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


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 is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Hours and flexibility

Workplace

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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