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.
SG
