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Nvidia Research Jobs (NOW HIRING)

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AI Research Intern at Lensa

Richmond, VA · On-site

NVIDIA is searching for outstanding AI researchers to join the NVIDIA Research Singapore team for internship. We are dedicated to the development and optimization of GPU-accelerated efficient AI ...

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AI Research Intern at Lensa

Manhattan, NY · On-site

NVIDIA is searching for outstanding AI researchers to join the NVIDIA Research Singapore team for internship. We are dedicated to the development and optimization of GPU-accelerated efficient AI ...

Nvidia

OR · On-site

Track major developments in agent research, internal NVIDIA work, publicly available projects, and industry systems, then help the team identify which ideas matter for OpenShell. * Guide the team in ...

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How much do nvidia research jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for nvidia research in the United States is $39.39, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $53.61 per hour, depending on experience, location, and employer.

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.
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Nvidia Research jobs near you
Infographic showing various Nvidia Research job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 88% Full Time, and 11% Part Time. Highlights an 84% Physical, 8% Hybrid, and 8% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.
Research Scientist, Human‑AI Perception and Interaction Research - PhD New College Grad 2026

Research Scientist, Human‑AI Perception and Interaction Research - PhD New College Grad 2026

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 15 days ago

Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We, the Human Performance and Experience (HPX) team at NVIDIA Research, strive to lead AI innovation by deeply understanding humans. We are looking for individuals who are passionate about advancing AI in gaming, robotics, and more by employing human intelligence and human interaction to shape perception, learning, and behavior. We bridge vision science, HCI, and HRI to create systems that perceive, learn, and collaborate with people safely and effectively. You will be working in a team of research scientists and engineers from varied backgrounds and will closely collaborate with product engineers. Join us in redefining the future of AI and human interaction!
What you'll be doing:
  • Propose, research, prototype and test innovative research ideas.
  • Publish at top conferences and patent novel inventions.
  • Collaborate with other research team members, external researchers, and mentor interns.
  • Create working interactive demonstrations to showcase your research ideas.
  • Participate in technology transfer with engineers around NVIDIA as ideas "graduate" from research to product.

What we need to see:
  • Ph.D. or equivalent research experience in Computer Science/Electrical Engineering/Cognitive Science or related field.
  • Excellent track record of publications in top-tier conferences (SIGGRAPH, CHI, HRI, ICRA, NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, CoG, ETRA, etc.).
  • Experience with studying human behaviors in related application domains such as gaming, driving, interacting with robots, etc.
  • Proficiency with Python, Rust, and/or C++.
  • Experience with AI model training and evaluation frameworks, like PyTorch.

Ways to stand out from the crowd
  • Demonstrated public portfolio (e.g. repositories, OSS contributions, notebooks, packages, or technical blog posts with code).
  • Experience with multi-node, multi-GPU training and inference workflows.
  • Familiarity with and interest in modern deep learning models, including working with large-scale, multi-modal foundation models (such as recent LLMs, VLMs).
  • A track record of applying human behavior models to machine learning applications, or applying machine learning to understand or model human behavior.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until January 25, 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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