NVIDIA

NVIDIA

Posted via Workday

NVIDIA 2027 Internships: Ph.D. Research Robotics

Posted Aug 19, 2026

Role at a glance

Salary
$38 – $94/hr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Internship
Experience
Strong background in research with publications at top conferences.
Education
Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field, for...

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Role Summary

AI-generated

This Ph.D. Research Robotics internship places interns on NVIDIA robotics research teams, working with robotics experts and internal product teams. The work focuses on developing novel robotics methods and transferring research into prototypes, patents, products, or original publications.

What You'll Do

  • Define a research project with experts in robotics
  • Design and implement novel robotics methods
  • Collaborate with research team members and internal product teams
  • Transfer research to product groups to enable new products or product types
  • Deliver prototypes, patents, products, and/or original research publications

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Active Ph.D. enrollment in Computer Science, Electrical Engineering, or a related field for the full internship; Python, C++, CUDA, deep learning frameworks, or physics simulation frameworks; research experience in a listed robotics area; strong research background with publications at top conferences; communication and collaboration skills.

Required

  • Active enrollment in a Ph.D. degree program for the full duration of the internship
  • Ph.D. in Computer Science, Electrical Engineering, or a related field
  • Research experience in at least one listed robotics area
  • Strong background in research with publications at top conferences
  • Excellent communication and collaboration skills

Preferred

  • Python
  • C++
  • CUDA
  • PyTorch
  • JAX
  • TensorFlow
  • Isaac Sim/Lab
  • MuJoCo

Original job description

Content provided by the employer
View on company site

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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.

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