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How much do internship nvidia research jobs pay per month?

As of Sep 5, 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 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 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 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, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

NVIDIA 2027 Internships: Ph.D. Research Robotics

Nvidia

Santa Clara, CA • On-site

Internship

Posted 16 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

By submitting your resume, you acknowledge that your Ph.D. Research Robotics internship application will be processed in accordance with NVIDIA's Applicant Privacy Policy and you agree to our Terms of Service. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry-leading Robotics teams.

We're seeking strategic, ambitious, hard-working, collaborative, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Learn more about Research at NVIDIA. What you will be doing: Work with experts in robotics and learn to define your research project.

Design and implement novel robotics methods. Collaborate with other research team members and a set of internal product teams. Transfer your research to product groups to enable new products or types of products.

Deliverable results include prototypes, patents, products, and/or publishing original research. What we need to see: Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered

Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies: Python, C++, CUDA, Deep Learning Frameworks (PyTorch, JAX, Tensorflow, etc.), Physics Simulation Frameworks (Issac Sim/Lab, MuJoCo, etc.) Strong background in research with publications at top conferences. Excellent communication and collaboration skills. Experience with large-scale model training is a plus

Potential internships require research experience in at least one of the following areas: Robotic Manipulation and Control Dexterous Manipulation Humanoid Loco-Manipulation Robot Kinematics, Dynamics, and Sensors Perception and World Understanding Robot Perception Vision Language Action (VLA) Models Robot Learning and Reasoning Foundation Models for Robotics Imitation and Reinforcement Learning Simulation, sim-to-real, real-to-sim Motion Planning and Navigation Synthetic Data Generation Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors. Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.

You will also be eligible for Intern benefits. Applications are accepted on an ongoing basis. This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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

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Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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