Engineer, Robotics Algorithm (SLAM & LLM)

We are looking for a Robotics Algorithm Engineer to develop intelligent navigation and perception algorithms for autonomous robots operating in complex environments. The role will focus on two key areas: SLAM/ autonomous navigation and LLM/VLM-based robotics intelligence , including spatial understanding, task reasoning, and BIM-aware robotic applications. Key Responsibilities • Develop and optimize LiDAR/ Vision/ IMU-based SLAM and localization algorithms. • Develop robust navigation solutions for dynamic and GPS-denied construction environments. • Work on point cloud registration, mapping, re-localization, loop closure, and map updating. • Integrate SLAM and navigation with ROS 2 and robotic platforms. • Develop LLM/VLM-based algorithms for robot scene understanding, task planning, and intelligent inspection. • Develop methods to combine BIM, spatial information, robot perception, and LLM/VLM for various applications. • Explore LLM/VLM-based agents, spatial reasoning, semantic mapping, and autonomous task generation. • Conduct algorithm testing, system integration, and deployment on real robots. Requirements • Master’s degree or above in Robotics, Computer Science, AI, Automation, Electrical Engineering, or related fields. • Strong knowledge of SLAM, localization, mapping, or autonomous navigation . • Experience with one or more SLAM frameworks or algorithms, such as FAST-LIO2, FAST-LIVO2, LIO-SAM, ORB-SLAM, RTAB-Map, ICP/GICP/NDT, or GTSAM . • Experience with ROS/ ROS 2 , C++ and Python. • Understanding of LLM, VLM, multimodal models, or AI Agent technologies . • Experience applying LLM/VLM to robotics, spatial intelligence, navigation, or embodied AI is highly desirable. • Strong problem-solving and hands-on implementation skills. Experience with real-world robot deployment, publications, patents, or open-source robotics projects will be an advantage.