NVIDIA 2027 Internships: Ph.D. Research Robotics

at Nvidia

USD 38-94 per hour

INTERN

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI CUDA @ 3 Communication @ 3 Deep Learning @ 3 JAX @ 3 PyTorch @ 3 Python @ 3 Reinforcement Learning @ 3 Robotics @ 3 TensorFlow @ 3

Details

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Its work in AI and digital twins is transforming industries and impacting areas including gaming, robotics, self-driving cars, healthcare, climate change, and virtual worlds.

This internship offers hands-on experience with NVIDIA's industry-leading robotics teams. Interns will work with strategic, ambitious, collaborative, and creative researchers to address challenging robotics problems.

Responsibilities

Work with experts in robotics to define a 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 product categories.
Deliver results through prototypes, patents, products, and/or original research publications.

Requirements

Be actively enrolled in a university Ph.D. program in Computer Science, Electrical Engineering, or a related field for the full duration of the internship.
Clearly indicate the anticipated graduation month and year on your resume or CV.
Depending on the internship, prior experience or knowledge may include:
- Python
- C++
- CUDA
- Deep learning frameworks such as PyTorch, JAX, and TensorFlow
- Physics simulation frameworks such as Isaac Sim/Lab and MuJoCo
Strong research background, 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, and real-to-sim
Motion planning and navigation
Synthetic data generation

Compensation and Benefits

The internship hourly rate is USD 38–94, based on the position, location, year in school, degree, and experience. Interns are also eligible for NVIDIA intern benefits.

Applications are accepted on an ongoing basis. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.