Research Scientist, Robotics Research - PhD New… at NVIDIA · Seattle

Summary: NVIDIA is at the forefront of the AI and robotics revolution, and they are seeking research scientists to contribute to their mission in the Seattle Robotics Lab. The role involves developing algorithms for robotic manipulation, engaging with the academic community, and collaborating with product teams to integrate research into real-world products. Responsibilities: - 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 - 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 joining NVIDIA during their PhD programs Required Qualifications: - Completing a PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience) - A strong research track record, with work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP - Exceptional programming skills in Python, as well as proficiency in modern deep learning frameworks (PyTorch or JAX), robotics frameworks (ROS or ROS2), and physics simulation frameworks (Isaac Sim/Lab or MuJoCo) - Familiarity with C++, CUDA, and Warp is a plus - Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams - 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 real-world communication systems; and designing robust workflows for model training and evaluation Preferred Qualifications: - The following research areas and applications are of particular interest: Bimanual and dexterous manipulation, Mobile manipulation and humanoid loco-manipulation, Multisensory perception (e.g., vision, tactile, and force/torque sensing), Simulation, sim-to-real, and real-to-sim, Vision-language-action (VLA) models, including architectural advancements, large-scale training, and test-time reasoning, Industrial applications, such as bin-picking, kitting, and assembly Required Skills: Robotics, Machine Learning, Python, Deep Learning Frameworks, PyTorch, JAX, Robotics Frameworks, ROS, ROS2, Physics Simulation Frameworks, Isaac Sim, Isaac Lab, MuJoCo, C++, CUDA, Warp, Robotic Manipulation, Loco-manipulation, Multisensory Perception, Simulation, Sim-to-real Transfer, Real-to-sim Transfer, Vision-language-action Models, Industrial Robotics Applications Benefits: Equity, Benefits