PhD Research Intern, Robotic Perception and Learning - 2027

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 @ 3 Algorithms CUDA @ 3 Communication @ 3 Computer Vision @ 3 Deep Learning @ 7 Machine Learning @ 3 PyTorch @ 3 Python @ 3 Reinforcement Learning @ 3 Robotics @ 3

Details

The Robotic Visual Perception and Learning research group within NVIDIA's Learning and Perception Group Research is seeking highly motivated PhD students for research internships. Interns work on impactful research, receive mentorship from experienced researchers, and may publish their work at top-tier conferences in computer vision, robotics, and machine learning.

Responsibilities

Reproduce existing state-of-the-art computer vision methods.
Research, design, and implement novel deep learning algorithms to advance computer vision, robotics, and control.
Publish original research.
Collaborate with team members, research teams, and product teams.
Transfer technology to product groups.

Requirements

Currently pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field.
Excellent knowledge of the theory and practice of computer vision methods, deep learning, robotics, and/or control.
Expertise in one or more of the following areas: 3D computer vision, reinforcement learning, real-to-sim-to-real, tactile sensing, or robotic manipulation.
Excellent programming skills in a rapid prototyping environment such as Python. C++ and/or CUDA are a plus.
Knowledge of common machine learning frameworks such as PyTorch.
Proven publication record at top-tier conferences.
Excellent communication and analytical skills.

NVIDIA uses AI tools in its recruiting processes and is committed to fostering an inclusive work environment and providing equal employment opportunities. Applications will be accepted at least until October 25, 2026. This posting is for an existing vacancy.