算法工程师（感知，运动控制） Algorithm Engineer (Perception & Motion Control)

负责无人环卫车辆环境感知算法研发（激光雷达/视觉/毫米波雷达）；

负责多传感器融合感知算法开发与优化；

参与感知算法在实车上的部署与测试；

跟踪学术界感知算法最新进展，推动技术迭代

统招2027届硕士及以上学历，计算机、人工智能、机器人、自动化等相关专业；

熟练掌握C++/Python，熟悉ROS/ROS2开发环境；

在目标检测、语义分割、点云处理、多传感器融合至少一个方向有项目或论文经验；

有自动驾驶或机器人感知相关实习/竞赛经验者优先。 运动控制方向 岗位职责：

负责无人环卫车辆路径规划与轨迹跟踪算法研发；

负责底盘线控系统控制策略开发；

参与横纵向控制算法在实车上的标定与测试；

针对环卫特有工况（低速大扭矩、频繁启停）优化控制算法。 岗位要求：

统招2027届硕士及以上学历，控制工程、自动化、车辆工程等相关专业；

掌握经典控制理论和现代控制理论，熟悉MPC/PID等算法；

有C++/Python/Simulink开发经验；

有无人车或机器人运动控制相关项目经验者优先。 Perception Track Job Responsibilities Develop environment perception algorithms for autonomous sanitation vehicles (LiDAR / camera / millimeter-wave radar). Develop and optimize multi-sensor fusion perception algorithms. Participate in the deployment and testing of perception algorithms on real vehicles. Follow the latest academic advances in perception algorithms and drive technical iteration. Job Requirements Full-time Master’s degree or above, expected graduation in 2027, majoring in Computer Science, Artificial Intelligence, Robotics, Automation or related fields. Proficient in C++ / Python; familiar with ROS / ROS2 development environment. Have project or paper experience in at least one of these areas: object detection, semantic segmentation, point cloud processing, multi-sensor fusion. Internship or competition experience in autonomous driving or robot perception is preferred. Motion Control Track Job Responsibilities Develop path planning and trajectory tracking algorithms for autonomous sanitation vehicles. Design control strategies for drive-by-wire chassis systems. Take part in calibration and testing of lateral and longitudinal control algorithms on real vehicles. Optimize control algorithms for unique sanitation working conditions: low speed with high torque and frequent start-stop operation. Job Requirements Full-time Master’s degree or above, expected graduation in 2027, majoring in Control Engineering, Automation, Vehicle Engineering or related fields. Understand classical and modern control theory; familiar with algorithms such as MPC and PID. Have development experience with C++ / Python / Simulink. Project experience in motion control of autonomous vehicles or robots is preferred.