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Internship Nvidia Research Jobs (NOW HIRING)

Nvidia

OR · On-site

... with NVIDIA research, hardware, compiler, and tools teams. What we need to see: * Pursuing or ... Prior internship experience in a related field. * Experience with inference optimization techniques ...

Nvidia

OR

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An ... Our internship hourly rates are a standard pay based on the position, your location, year in school ...

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 Jun 9, 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 May 2026, with employment types broken down into 3% Internship, 7% As Needed, 9% Full Time, 77% Part Time, 3% Temporary, and 1% Contract. Highlights an 84% Physical, 8% Hybrid, and 8% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.
Research Scientist, AI-Mediated Reality and Interaction Research - PhD New College Grad 2026

Research Scientist, AI-Mediated Reality and Interaction Research - PhD New College Grad 2026

Nvidia

New York, NY

Full-time

Posted 25 days ago

Job description

NVIDIA Research's "AI-Mediated Reality and Interaction" team is looking for a research scientist. Our mission is to create interactive physical AIs capable of operating in dynamic 4D worlds. We conduct fundamental research on the algorithms, theory and application of human-AI interaction and 4D world modeling using new ideas in artificial intelligence (AI), neural rendering, graphics, generative modeling, large language models, human behavior understanding and digital human creation. That research impacts many existing NVIDIA products, including Isaac, Omniverse, Metropolis, NuRec,XR,AI4Media,XR,and helps create new ones. We need a highly creative, independent and self-starting research scientist to help us invent that future. Come join a diverse research group that collaboratively works on hard and meaningful interdisciplinary problems with passion, drive and curiosity; that consistently publishes and demonstrates cutting-edge technology at top venues in computer vision, artificial intelligence and graphics; and that values real impact on NVIDIA products and the industry at large.

What you'll be doing:

  • Propose, research, prototype and test innovative research ideas.

  • Publish at top conferences and patent research ideas.

  • 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. in Computer Science/Electrical Engineering or equivalent research experience.

  • Outstanding research track record in top-tier conferences (CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, etc.).

  • Proficiency in theory and practice of AI and computer vision algorithms.

  • Experience with 3D graphics development.

  • Strong programming skills in Python, C++, CUDA

  • Proficiency with distributed deep learning training frameworks, e.g., PyTorch.

  • Excellent communication skills.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most resourceful and dedicated people in the world working for us. Are you creative and autonomous? Do you love the challenge of exploring and creating the techniques that will define our future products? If so, we want to hear from you!

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 13, 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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