NVIDIA 2026 Internships: PhD Robotics Research - US

Reposted 24 Days Ago
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4 Locations
In-Office or Remote
30-94
Internship
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Robotics Research Intern, you will design and implement innovative robotics methods, collaborate with teams, and contribute to prototypes and research publications.
Summary Generated by Built In

By submitting your resume, you’re expressing interest in one of our 2026 Robotics focused Research Internships. 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, and creative individuals who are passionate about helping us tackle challenges no one else can solve. 

NVIDIA Research is seeking world-class Research Interns to join a variety of teams across our organization, including but not limited to, the Seattle Robotics Lab (SRL), Generalist Embodied Agent Research (GEAR), and the Learning and Perception Research Group.

 

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 diverse 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 PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship.     

  • 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.)P 

  • 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 30 USD - 94 USD.

You will also be eligible for Intern benefits.

Applications are accepted on an ongoing basis. 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.

Top Skills

C++
Cuda
Issac Sim
Jax
Mujoco
Python
PyTorch
TensorFlow
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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