1．Bachelor degree or above in computer science or automation in key universities, with a solid theoretical foundation, and good English literature retrieval and reading skills；

2．Solid C/C++ programming knowledge and proficient use of OpenCV/Eigen/GTSAM/Ceres and other libraries；

3．Familiar with visual SLAM/LASER SLAM algorithm and one or more algorithm frameworks, familiar with feature extraction, feature matching, particle filtering, EKF, ESKF, closed-loop detection, graph optimization and other algorithms；

4．Familiar with Lidar/Camera/GNSS/IMU and other sensors and their use；

5．Have a good mathematical foundation and optimization-related knowledge；

6．Publication of relevant technical achievements or related academic papers is preferred；

7．Experience in the development of the inspection industry is preferred；

8．This position faces multiple directions such as laser SLAM, visual SLAM, planning, perception, etc., and can be delivered if you are familiar with one or more.；