英伟达Full-Stack Solution Engineer: Humanoid Whole-Body Control and Loco-manipulation

工作描述

任职要求
• A PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience) with at least 3 years of research and engineering experience. 
• Reinforcement Learning for Control: Strong experience with reinforcement learning for robotics, including policy training, reward design, motion tracking, curriculum learning, domain randomization, and sim-to-real deployment.
• Simulation and Synthetic Training Pipelines: Hands-on experience building and scaling robot simulation environments in Isaac Lab or similar platforms. You should be comfortable debugging physics, contacts, sensors, robot models, and large-scale training workflows.
• Whole-Body Control and Motion Tracking: Understanding of humanoid or legged robot control. 
• Hardware-First Robotics Engineering: Practic…