Humanoid Robot Learning Intern, Isaac Loco-Manipulation - 2027

NVIDIA
Shanghai
InternshipFunction: Education & TrainingEducation: mastersSkills: ["Research","Collaboration","Project ownership","Problem-solving","Innovation"]

Develop novel robot learning methods to improve performance in humanoids and mobile manipulators for whole-body dexterous tasks. Co-develop GR00T and Cosmos robotics foundation models, and build robot-learning technologies that enable large-scale autonomy deployment. Own an applied research project from idea to prototype, publication, and open-source contributions, collaborating with researchers and engineers to validate robot capabilities.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Humanoid Robot Learning Intern, Isaac Loco-Manipulation - 2027

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Last checked: 2 hours agoStatus: Live

Job Summary

Develop novel robot learning methods to improve performance in humanoids and mobile manipulators for whole-body dexterous tasks. Co-develop GR00T and Cosmos robotics foundation models, and build robot-learning technologies that enable large-scale autonomy deployment. Own an applied research project from idea to prototype, publication, and open-source contributions, collaborating with researchers and engineers to validate robot capabilities.
Location: Shanghai
Employment Type: Internship
Job Function: Education & Training
Seniority: Intern level

Key Responsibilities

  • •Develop novel robot learning methods for whole-body dexterous tasks in humanoids and mobile manipulators.
  • •Co-develop and advance GR00T and Cosmos robotics foundation models.
  • •Develop robot-learning technologies that enable large-scale deployment of robot autonomy.
  • •Lead an applied research project from idea conception to prototype development, publication, and software open-source contribution.
  • •Collaborate with researchers and engineers to turn novel ideas into validated robot capabilities.

Key Requirements

  • •Pursuing a PhD or Master’s degree in Robotics, Computer Science, or a related field.
  • •Strong robotics research or engineering experience through academic projects, publications, and real robot experience.
  • •Proficiency in Python and C++ with hands-on experience using deep-learning frameworks such as PyTorch, JAX, or TensorFlow.
  • •Experience with physics simulators such as Isaac Sim, Isaac Lab, or MuJoCo and transferring data/behaviors between simulated and physical systems.
  • •Experience with world modeling/action models and robot learning (imitation learning or reinforcement learning), including robotics foundation models.
Experience:RoboticsAIRobot learningDeep learningComputer visionMachine learningOpen source
Education:Master's in Robotics, Computer Science, or a related field
Skills:ResearchCollaborationProject ownershipProblem-solvingInnovation
Tech Stack:PythonC++PyTorchJAXTensorFlowIsaac SimIsaac LabMuJoCoGR00TCosmosNewtonSynthetic data generationSimulation

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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