Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications; Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands; Co-leading and contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack; Engaging with the academic community through high-impact publications, conferences, workshops, and code releases; Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact; Mentoring interns and more junior research scientists and engineers. Deep 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.