NVIDIA
Technology
MachineLearningIntern,HumanoidRobotics
Neural analysis suggests this role is
optimal for Mid+ candidates.
“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.
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
Applying for this Machine Learning Intern, Humanoid Robotics role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about NVIDIA?
Real rants from real employees. Read before you apply.