Applied Research Intern

As a research intern on the embodied AI projects, you will help build the advanced robotic policies with humanoid robots for the challenging clinical environment scenes — 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 clinical environment scenes.
• Upstream research results — into Isaac for Healthcare where they are clinical, and into Isaac and GR00T where they generalize.
• 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:

• Master's degree or above in Robotics, Computer Science, Engineering, or a related field, or equivalent experience.
• 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.