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Internship Nvidia Research Jobs (NOW HIRING)

Nvidia

Senior Research Scientist, Rendering

Redmond, WA

$110K - $140K/yr

Collaborating with fantastic NVIDIA researchers, engineers, and external academics. * Helping define team research topics, goals, and guiding other researchers and interns. What we need to see:

Nvidia

Senior Robotics Research Scientist

Seattle, WA

$112K - $142K/yr

Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact; * Mentoring interns and more junior research scientists and ...

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How much do internship nvidia research jobs pay per month?

As of Aug 15, 2026, the average monthly pay for internship nvidia research in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Nvidia Research intern, and why are they important?

To thrive as an Nvidia Research Intern, you typically need a strong background in computer science, mathematics, or a related field, often supported by ongoing graduate or undergraduate study. Familiarity with programming languages such as Python or C++, experience with deep learning frameworks like TensorFlow or PyTorch, and knowledge of GPU computing are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns contribute meaningfully to collaborative research projects. These skills are crucial for engaging in cutting-edge research, driving innovation, and making a tangible impact within Nvidia's fast-paced, technology-driven environment.

What is an internship at Nvidia Research?

An Internship at Nvidia Research is a temporary position for students or recent graduates to work alongside world-class researchers and engineers on cutting-edge projects in artificial intelligence, deep learning, computer graphics, and related fields. Interns collaborate on innovative research, contribute to publications, and gain hands-on experience with advanced technologies. The program is designed to provide mentorship, skill development, and networking opportunities, often leading to future career prospects in the tech industry.

What types of projects do interns typically work on at Nvidia Research, and how are project assignments determined?

Interns at Nvidia Research often contribute to cutting-edge projects in areas like artificial intelligence, computer vision, graphics, and high-performance computing. Project assignments are matched to interns based on their skills, academic background, and research interests, as well as current team needs. Interns collaborate closely with experienced researchers and engineers, gaining hands-on experience and often co-authoring papers or presenting findings. This environment encourages learning, innovation, and professional growth, making it an excellent opportunity for those considering a research career.

What is the difference between Internship Nvidia Research vs Nvidia Research Engineer?

AspectInternship Nvidia ResearchNvidia Research Engineer
Required CredentialsUndergraduate or graduate student, relevant courseworkMaster's or PhD in Computer Science, Electrical Engineering, or related fields
Work EnvironmentTemporary, project-based, collaborative research settingFull-time, ongoing research and development projects
Employer & Industry UsageInternship program within Nvidia's research divisionFull-time research roles within Nvidia's R&D teams

Internship Nvidia Research offers students hands-on experience in cutting-edge AI and graphics research, typically lasting a few months. Nvidia Research Engineers are full-time professionals responsible for developing and implementing innovative solutions. Internships are ideal for students exploring careers, while research engineer roles are for those seeking long-term employment in Nvidia's R&D division.

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Internship Nvidia Research jobs near you
Infographic showing various Internship Nvidia Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

Research Scientist, HumanAI Perception and Interaction Research - PhD New College Grad 2026

Nvidia

Santa Clara, CA • On-site

Full-time

Re-posted 25 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

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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