Applied Research Intern, Robotics - 2027

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.