NVIDIA 2026 Internships: PhD Robotics Research - US job opportunity at NVIDIA.

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NVIDIA NVIDIA 2026 Internships: PhD Robotics Research - US
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Pattern: full-time
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degreePhD
loacation US, CA, Santa Clara, United States Of America
loacation US, CA, Santa ..........United States Of America

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 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 (LPR) Group .   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.    Learn more about   Research at NVIDIA .    What you will be doing:   Work closely with researchers and engineers in robotics to define your research project. Design, implement and deploy novel robotics methods into real robots.  Collaborate with other research and product teams on topics related to your project.  Initiate the transfer of your research to product teams to enable new products. Deliverable results include prototypes, patents, products, and/or publishing original research to top conferences and journals.   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++, Deep Learning Frameworks (PyTorch, JAX, Tensorflow), Physics Simulation Frameworks (Issac Sim/Lab, MuJoCo). Strong background in research with publications at top conferences.  Excellent communication and collaboration skills.  Experience with large-scale model training on GPU clusters is a plus.    Potential internships require research experience in at least one of the following areas:   Robotic manipulation and control  Dexterous and bimanual manipulation  Humanoid loco-manipulation  Robot kinematics, dynamics, and sensing  Robotics simulation, sim-to-real, real-to-sim Motion and task planning    Robot Learning and Reasoning  Vision language action (VLA) models  Foundation models for robotics  Imitation and reinforcement learning Foundation models for 3D perception  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. 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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