PhD Research Intern, Learning Embodied Skills from Human Data - 2027

NVIDIA
Santa Clara
Workplace: OnsiteInternshipUSD 38 - 94 hourlyFunction: Education & TrainingEducation: phdSkills: ["Creativity","Rapid prototyping","Collaboration","Research communication","Mentorship","Ability to publish"]

Develop and implement AI algorithms that learn embodied skills from large-scale human data to enable controllable motion and interaction for humanoid robots and digital characters. Build scalable training and inference pipelines for motion reconstruction, generation, retargeting, and robot/character control, and advance methods for transferring human skills to whole-body loco-manipulation and dexterous manipulation. Collaborate with research teams and publish at leading AI and robotics conferences.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
1 day ago

PhD Research Intern, Learning Embodied Skills from Human Data - 2027

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Develop and implement AI algorithms that learn embodied skills from large-scale human data to enable controllable motion and interaction for humanoid robots and digital characters. Build scalable training and inference pipelines for motion reconstruction, generation, retargeting, and robot/character control, and advance methods for transferring human skills to whole-body loco-manipulation and dexterous manipulation. Collaborate with research teams and publish at leading AI and robotics conferences.
Location: Santa Clara
Workplace: Onsite
Employment Type: Internship
Job Function: Education & Training
Seniority: Intern level

Key Responsibilities

  • •Innovate and implement AI algorithms that convert large-scale human data into controllable motion and interaction skills across physical and digital embodiments.
  • •Develop robust, scalable training and inference pipelines for motion reconstruction, generation, retargeting, and character/robot control.
  • •Create methods to transfer human skills to humanoid robots, including whole-body loco-manipulation and dexterous manipulation.
  • •Maintain close, collaborative relationships with your mentor(s).
  • •Publish research findings at leading computer vision, machine learning, graphics, and robotics conferences; partner with product teams for technology transfer.

Pay and Benefits

Salary: USD 38 - 94 hourly

Key Requirements

  • •Pursuing a PhD degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field.
  • •Strong ability to use coding agents to accelerate research prototyping, experimentation, and development.
  • •Excellent engineering skills for rapid prototyping and building model-training and simulation frameworks (e.g., PyTorch, Isaac Lab, MuJoCo).
  • •Demonstrated skills working with large-scale machine learning/AI systems and compute infrastructure.
  • •Track record with at least one publication at a leading computer vision, computer graphics, or robotics conference (e.g., CVPR, ICCV, SIGGRAPH, CoRL).
Experience:Computer visionMachine learningRoboticsComputer graphicsEmbodied AIReinforcement learning
Education:PhD / Doctorate in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field
Skills:CreativityRapid prototypingCollaborationResearch communicationMentorshipAbility to publish
Tech Stack:PyTorchIsaac LabMuJoCoReinforcement learningImitation learningDifferentiable physics simulationVideo understandingWorld action modelsVision-language-action modelsVideo foundation modelsLLM-based agents

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
WebsiteLinkedInGlassdoor