As a research intern on the embodied AI projects, you will help build the advanced robotic policies with humanoid robots for the challenging industrial scene — enabling sim-first development, real-world deployment, and continuous learning to make them smarter over time. The ideal candidate will have strong research skills for robotics.
What You Will Be Doing:
Bring the latest advancements in embodied AI to simulated and real humanoid robots, successfully apply research in the challenging industrial scenes, like healthcare scenarios.
Build sim-first robot policies with SimReady digital twin and minimize the sim2real gap.
Collaborate across team boundaries to integrate NVIDIA robotics products such as Jetson Thor, Isaac GR00T, Cosmos, and Isaac Sim/Lab into the research work.
Take on a variety of challenges, solve practical research topics.
Deploy and test the developed software on real humanoid robots.
What we need to see:
Pursuing Master's degree or above in Robotics, Computer Science, Engineering, or a related field.
Skilled at robotic policy development workflow, from lab to launch: teleoperation, synthetic data generation, domain randomization, VLA and RL post-training, sim2real transfer, deployment with edge AI platforms.
Familiar with the latest research work in VLA and RL algorithms.
Proficiency in Python, PyTorch. Willingness to learn new languages and robot SDK tools as needed.
Ability to adapt to fast-paced development lifecycles, multi-functional organizations, new technologies and platforms.
Strong problem-solving skills and the ability to determine the best approach to complex challenges.
Excellent communication skills and a collaborative approach to working effectively with diverse teams.
Ways to Stand out from The Crowd:
Familiarity with the latest embodied AI research work.
Experience with VLA / Reinforcement Learning.
Experience with humanoid robots.
Familiarity with NVIDIA robotics products such as Jetson, Isaac GR00T, Cosmos, and Isaac Sim/Lab.
