PhD Research Intern: Embodied AI & Robotic Motion

NVIDIA; Santa Clara (CA); On-site; USD 52,000 - 129,000; Part time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA is seeking outstanding Research Interns to join the Data-Driven AI for Robotics (DAIR) group. The focus is on learning embodied skills from large-scale human data and developing AI systems across humanoid robots and digital characters.

You will collaborate with a passionate research team, implement novel AI algorithms, build scalable training and inference pipelines, and publish findings at top conferences while partnering with product teams for technology transfer.

Qualifications

• Pursuing a PhD or doctoral track in a related field.
• Strong coding and prototyping skills for research pipelines.
• Experience with model-training and simulation frameworks (PyTorch, MuJoCo).
• Experience with large-scale ML systems and compute infra.
• At least one publication at CV/graphics/robotics conferences.

Responsibilities

• Innovate and implement novel AI algorithms that transform 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 and robot control.
• Build methods that transfer human skills to humanoid robots, including whole-body loco-manipulation and dexterous manipulation.
• Maintain a close, collaborative relationship with your mentor(s).
• Publish your research findings at leading computer vision, machine learning, graphics, and robotics conferences.
• Partner with product teams to enable effective technology transfer of your work.

Skills

Coding prototyping

Large-scale ML systems

Collaborative research

Education

PhD candidate in Computer Science/Engineering/Robotics

Tools

PyTorch

MuJoCo

Isaac Lab

Job description

NVIDIA is seeking outstanding Research Interns to join the Data-Driven AI for Robotics (DAIR) group. The focus is on learning embodied skills from large-scale human data and developing AI systems across humanoid robots and digital characters.

You will collaborate with a passionate research team, implement novel AI algorithms, build scalable training and inference pipelines, and publish findings at top conferences while partnering with product teams for technology transfer.