Engineer, Embodied AI

We are looking for an Embodied AI / Robot Intelligence R&D Engineer to develop next-generation robot intelligence systems that bridge large AI models with real-world robotic perception, planning, decision-making, and control. The role will focus on building a modular robot brain architecture combining LLM/VLM/VLA, world models, task planning, spatial intelligence, robot skills, physical verification, and ROS 2-based execution . Key Responsibilities • Develop embodied AI algorithms for robotic perception, reasoning, task planning and autonomous execution. • Research and integrate LLM, VLM and VLA models into real-world robotic systems. • Develop hierarchical robot planning architectures , including LLM-based planning, task planning, skill planning and execution. • Build and maintain robot skill/capability models , task graphs and reusable skill libraries. • Research world models, spatial intelligence and persistent robot memory for long-horizon robotic tasks. • Develop semantic-geometric representations combining visual semantics, 3D geometry and robot/environment states. • Conduct simulation and real-robot experiments on mobile robots, quadruped robots, manipulators and other robotic platforms. • Track and evaluate state-of-the-art research in embodied AI, robot foundation models, VLA, world models and autonomous robotics. Required Qualifications • Master’s degree or above in Robotics, Artificial Intelligence, Computer Science, Automation, Electrical Engineering, Mechanical Engineering, or a related field. • Strong programming skills in Python and/or C++ . • Solid understanding of robotics fundamentals, including at least several of the following: robot perception; task planning; SLAM/navigation; robot manipulation; reinforcement learning. • Experience with ROS/ ROS 2 . • Good understanding of modern deep learning architectures such as Transformer, VLM, LLM or generative models . • Ability to independently implement and evaluate research ideas on real robotic systems. Experience with real-world robot deployment, publications, patents, or open-source robotics projects will be an advantage.