NVIDIA

Technology

MachineLearningIntern,HumanoidRobotics

$120–180k ~AI est. Shanghai, China FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Machine Learning Intern, Humanoid Robotics at NVIDIA. Skills: Machine learning, Humanoid robotics, Robot learning. Collaborate on humanoid robotics projects. Support GR00T foundation models”

What You'll Achieve.

Advance humanoid robot capabilities; Potential for open-source contributions; Potential for publications

Industry & Context.

Technology
Problems you'll solve

Novel algorithm design

What They're Looking For.

Must Have

Pursuing PhD or Master's degree, Academic/project track record in robotics, Hands-on deep learning frameworks experience, Familiarity with foundation models for robotics, Experience with sim-to-real transfer, Deep knowledge of robot learning, Software engineering fundamentals, Proficiency in C++, Proficiency in Python

Nice to Have

Hands-on experience with real robot humanoid, Publications in top conferences

What You'll Do.

Collaborate on humanoid robotics projects

Support GR00T foundation models

Support Cosmos foundation models

Develop workflows with Isaac Lab

Develop workflows with Newton

Develop advanced technologies for robot learning

Develop synthetic data generation

Design novel algorithms for locomotion

Design novel algorithms for manipulation

Implement algorithms in simulation

Implement algorithms in real-world

Test algorithms in simulation

Test algorithms in real-world

Drive internship project

Validate on-robot performance

Contribute to open-source

Publish research findings

Collaborate cross-functionally

Share findings with teammates

How You'll Work.

Team & Collaboration

Cross-functional teams; With teammates; With partners

Full Job Description

NVIDIA is seeking exceptional machine learning interns to join our world-class robotics initiatives focused on humanoid loco-manipulation. As part of the Isaac Loco-Manipulation team, you’ll collaborate with industry-leading experts, contribute to robotics foundation models including GR00T and Cosmos, and help advance the future of humanoid robot capabilities. We are looking for ambitious, creative, and research-driven individuals passionate about advancing the boundaries of robotics. This is demanding, cross-disciplinary work at the intersection of cutting-edge research and rigorous engineering. **What you 'll be doing:** * Collaborate with researchers and engineers on focused projects in humanoid robotics loco-manipulation and mobile manipulation areas. * Support the development and advancement of GR00T and Cosmos foundation models. * Help develop reference workflows with Isaac Lab and Newton for humanoid and mobile manipulation dexterous tasks. * Advanced technologies for robot learning and synthetic data generation using human videos. * Design, implement, and test novel algorithms for humanoid robot locomotion and manipulation in both simulated and real-world environments. * Drive a scoped internship project from model/algorithm design and sim-to-real transfer through to on-robot validation, with the potential for open-source contributions or publications. * Collaborate cross-functionally with teammates and partners to share findings and advance shared goals. **What we need to see:** * Currently pursuing a PhD or Master’s degree in Robotics, Computer Science, or a related field. * Strong academic or project track record demonstrating execution bandwidth in applied research and engineering on robotics platforms. * Hands-on experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow, and physics simulation tools like Isaac Sim/Lab or MuJoCo. * Strong familiarity with foundation models for robotics and 3D perception. * Experience with sim-to-real a

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