What we need to see: Enrolled in a PhD program in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field; Knowledge of both the theory and practice of robotics and AI, with a strong interest in connecting your work to real-world robotics applications; A demonstrated track record, with first-author work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IJRR, T-RO, Science Robotics, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP; Exceptional communication, collaboration, and interpersonal skills, with significant experience working on a team; Exceptional programming skills in Python; in addition, familiarity with C++, CUDA, and Warp is a plus; Fluency in modern deep learning frameworks such as PyTorch or JAX; Experience in AI coding and research agents, including critical validation of their outputs; Experience with robotics frameworks such as ROS2 and physics simulation frameworks such as Isaac Sim, Isaac Lab, Newton, and/or MuJoCo; Comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging communication systems; and designing robust workflows for model training and evaluation. The work has deeply impacted the research community and NVIDIA products, including Isaac Sim, Isaac Lab, Isaac Manipulator, Isaac Lab-Arena, Cosmos, and Newton amongst others.