Staff Robot Learning Engineer

Responsibilities

• Develop and implement state-of-the-art AI algorithms for robotic manipulation, motion planning, perception and control.
• Integrate and calibrate perception systems (e.g., cameras, LiDAR, tactile sensors) with robotic platforms to enable enhanced task-awareness.
• Create simulation environments, deployable implementations, and evaluation frameworks to assess algorithm performance, scalability, and robustness.
• Establish data requirements, design data collection workflows, and support data collection, and curation for AI model development.
• Collaborate with AI researchers to translate cutting-edge algorithms into robust software implementations.
• Stay updated with the latest advancements in robotics software and AI to continuously enhance the team’s capabilities.

Qualifications

• Education: Bachelor's or Master's degree in Robotics, Computer Science, Electrical Engineering, or a related technical field, Ph.D. is preferred.
• Experience: 3+ years of professional experience in robot learning.
• Experience with robotic middleware platforms, especially ROS/ROS2.
• Proven hands-on experience developing simulation environments and synthetic data generation pipelines using NVIDIA Isaac Sim or MuJoCo.
• Strong background in machine learning and robotics, and experience in: Reinforcement Learning and Imitation Learning for manipulation, Planning and control algorithms (e.g., A*, MPC), Optimization techniques (e.g., linear/nonlinear optimization).
• A track record of relevant publications in top international conferences (RSS, NeuRIPS, ICML, ICLR, CoRL, ICRA, IROS).