Responsibilities
Qualifications
Preferred Qualifications
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- Develop and optimize laser SLAM algorithms for robots, including core modules such as mapping, localization, loop closure detection, and path planning.
- Research multi-sensor fusion technologies (LiDAR, IMU, odometry, vision, etc.) to improve the robustness and accuracy of the algorithm in dynamic environments.
- Optimize algorithm performance for complex indoor and outdoor scenarios (such as warehousing, industrial, and service robotics applications), and complete porting and deployment on embedded platforms.
- Work with the hardware team to complete sensor calibration, system integration, and on‑site testing, and resolve technical issues encountered in real‑world applications.
- Prepare algorithm design documents, test reports, and technical proposals to support product iteration and intellectual property applications.
- Collaborate with product and testing teams to drive the practical implementation of the algorithm in the robot navigation system.
Qualifications
- Master’s degree or above in Computer Science, Automation, Robotics, Electronic Engineering, or a related field.
- At least 3 years of experience in laser SLAM algorithm development, and familiarity with mainstream frameworks such as Cartographer, Gmapping, and LOAM.
- Proficient in C++ and Python; familiar with Linux/ROS development environments; and experienced with algorithm libraries such as Eigen, PCL, Ceres, and g2o.
- Strong mathematical foundation in probability, linear algebra, graph optimization, and related areas, with the ability to independently derive SLAM‑related mathematical models.
- Familiar with the full workflow of robot navigation, including mapping, localization, path planning, and obstacle avoidance; experience in AGVs, cleaning robots, autonomous driving, or related fields is preferred.
- Hands‑on experience in multi‑sensor calibration, point cloud processing, and real‑time system optimization.
Preferred Qualifications
- Familiarity with 3D LiDAR SLAM algorithms.
- Experience in robot competitions or publications/patents in related fields.
- English can be used as a working language.
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