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.
