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Nvidia NVIDIA Internships PhD Robotics Research 
United States, California 
610091094

Today
US, CA, Santa Clara
time type
Full time
posted on
Posted 6 Days Ago
job requisition id

your resume,expressing interest in one of our 2026review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.

society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.

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Learn more about

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 couldinclude 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.

nternships require research experience in at least one of the following areas:

Robotic Manipulation and Control

  • Dexterous Manipulation

  • Loco-Manipulation

  • Robot Kinematics, Dynamics, and Sensors

and World Understanding

  • Robot Perception

  • Vision Language Action (VLA) Models

Robot Learning and Reasoning

  • Foundation Models for Robotics

  • Imitation andReinforcement Learning

Simulation, sim-to-real, real-to-sim

Motion Planning and Navigation

Synthetic Data Generation

and other helpful student resources related to our latest technologies and endeavors.

You will also be eligible for Intern

Applications are accepted on an ongoingbasis.