Nvidia Senior Machine Learning Engineer - Humanoid Robotics Loco-Manipulation 

United States, California 

731168624

What you’ll be doing:

• Collaborate with researchers and engineers to define and execute projects in humanoid robotics loco-manipulation and mobile manipulation areas.

• Contribute to the development and advancement of GR00T and Cosmos foundation models.

• Develop reference workflows with Isaac Lab and Newton for humanoid and mobile manipulation dexterous tasks.

• Advance technologies for robot learning and synthetic data generation using human videos.

• Design, implement, and deploy novel algorithms for humanoid robot locomotion and manipulation in both simulated and real-world environments.

• Transfer innovations into products, with deliverables including prototypes, open source software contributions, patents, and/or publications in top conferences and journals.

What we need to see:

• PhD or Master’s degree in Computer Science, Robotics, or a related field (or equivalent experience).

• 5+ years of experience working on robotics software.

• Strong programming skills in Python and C++.

• Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow, and physics simulation tools like Isaac Sim/Lab or MuJoCo.

• Expertise in foundation models for robotics and 3D perception.

• Experience with sim-to-real and real-to-sim transfer in robotics.

• Deep knowledge of robot learning, including imitation and reinforcement learning.

• Hands-on experience trainingVision-Language-Action(VLA) models.

• Experience generating synthetic data for robotics applications.

• Great communication and collaboration skills.

Ways to stand out from the crowd:

• Experience learning from human video demonstrations or human-object reconstruction.

• Expertise in dexterous bimanual manipulation or whole-body control.

• Proven track record in robotics research, including publications in top conferences (e.g., RSS, ICRA, CoRL, NeurIPS, CVPR, ICLR).

• Demonstrated technical leadership experience.