NVIDIA 2026 Internships: PhD Robotics Research

Details

NVIDIA offers 2026 Robotics-focused research internships for PhD students. By submitting your resume you express interest in one of the robotics research internship opportunities; resumes are reviewed on an ongoing basis and a recruiter may reach out if your experience fits. NVIDIA's research groups work on accelerated computing, AI, digital twins, robotics, self-driving, healthcare, climate, and virtual worlds. Internships provide hands-on experience with industry-leading robotics teams and opportunities to transfer research into products, prototypes, patents, or publications.

Responsibilities

• Work with experts in robotics and define your research project.
• 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 types of products (deliverables may include prototypes, patents, products, and/or original research publications).

Requirements

• 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.
• Strong background in research with publications at top conferences.
• Excellent communication and collaboration skills.
• Depending on the internship, prior experience or knowledge may include:
  • Programming: Python, C++, CUDA.
  • Deep learning frameworks: PyTorch, JAX, TensorFlow.
  • Physics and robotics simulation frameworks: NVIDIA Isaac (Isaac Sim/Lab), MuJoCo, etc.
  • Experience with large-scale model training is a plus.

Potential internship research areas (examples include, but are not limited to):

• Robotic manipulation and control (dexterous manipulation, humanoid loco-manipulation, robot kinematics, dynamics, and sensors).
• Perception and world understanding (robot perception, Vision-Language-Action models).
• Robot learning and reasoning (foundation models for robotics, imitation learning, reinforcement learning).
• Simulation, sim-to-real and real-to-sim methods.
• Motion planning and navigation.
• Synthetic data generation.

Compensation & Benefits

• Intern hourly rate range: 30 USD - 94 USD (actual rate depends on position, location, year in school, degree, and experience).
• Interns are eligible for NVIDIA intern benefits. More information on NVIDIA early talent programs and student benefits is provided by NVIDIA resources for students.

Additional Information

• Applications are accepted on an ongoing basis.
• NVIDIA is an equal opportunity employer and values diversity across its workforce. NVIDIA does not discriminate on legally protected characteristics.