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.