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Machine Learning Engineer - Humanoid Robotics

NVIDIA· Engineer, Sys SW
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Shanghaifull-timePosted 6mo ago

About the role

Machine Learning Engineer role focusing on humanoid loco-manipulation within NVIDIA's Isaac Loco-Manipulation team. Involves advancing foundation models (GR00T, Cosmos), sim-to-real transfer, and robotics learning with cross-disciplinary collaboration to deploy prototypes, open source contributions, and publications.

Responsibilities

  • 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.
  • Drive the full development lifecycle from model and algorithm design, with sim-to-real transfer, to rigorous on-robot validation and production deployment.
  • Collaborate cross-functionally with teammates and partners to share best practices and advance shared goals.

Qualifications

  • PhD or Master’s degree in Robotics, Computer Science, or a related field (or equivalent experience).
  • 3+ years of experience working on robotics software.
  • 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 of real robot testing, humanoid experience is preferred.
  • Strong software engineering fundamentals, including proficiency in C++ and Python.

Skills

Required:Robotics software developmentDeep learning frameworksPhysics simulation toolsFoundation models for roboticsSim-to-real transferRobot learningC++Python
Last updated Jul 3, 2026. Interested? Apply on the company site.

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