PhD Robotics Research Intern: AI for Real-World Robots

NVIDIA; Zürich; On-site; CHF 37,000 - 59,000; Full time

Job summary

NVIDIA invites PhD-candidate interns to contribute to cutting-edge robotics and AI research. You will work on manipulation and loco-manipulation, integrate methods into real robotic systems, and collaborate across teams. A strong publication track and hands-on coding in Python/C++ with ML frameworks are valued.

Interns have opportunities to publish, participate in conferences, and potentially continue in research or engineering roles within NVIDIA’s ecosystem.

Qualifications

• Enrolled in a PhD program in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• First-author work published in top robotics/AI conferences and journals (e.g., RSS, CoRL, ICRA, IJRR, NeurIPS, CVPR, ICCV, ECCV, EMNLP).
• Exceptional Python skills; familiarity with C++, CUDA, and Warp is a plus; strong ML framework experience (PyTorch or JAX).
• Experience with robotics frameworks such as ROS2 and simulation tools like Isaac Sim, Isaac Lab, Newton, MuJoCo.

Responsibilities

• Develop algorithms, foundation models, and methods for robotic manipulation and/or loco-manipulation.
• Integrate methods into real-world robotic manipulation systems with various robot platforms.
• Contribute to multi-person research projects across robotics and machine learning stacks.
• Engage with the academic community through high-impact publications, conferences, and code releases.
• Develop AI agents to accelerate research while ensuring correctness, reproducibility, and security.

Skills

Python

C++

CUDA

Warp

PyTorch

JAX

ROS2

MuJoCo

Simulation

Education

PhD enrollment

Tools

Isaac Sim

Isaac Lab

Newton

MuJoCo

ROS2

Job description

NVIDIA invites PhD-candidate interns to contribute to cutting-edge robotics and AI research. You will work on manipulation and loco-manipulation, integrate methods into real robotic systems, and collaborate across teams. A strong publication track and hands-on coding in Python/C++ with ML frameworks are valued.

Interns have opportunities to publish, participate in conferences, and potentially continue in research or engineering roles within NVIDIA’s ecosystem.