•Design and develop ADAS ground truth system perception software system, incl. multi-sensor fusion detection and segmentation algorithm, tracking algorithm, process cloud pipeline, etc.

设计开发ADAS真值系统感知软件，包含多传感器融合检测与分割算法、跟踪算法、云端处理流水线等。

•Design and develop innovative multi-model fusion algorithms such as map fusion modules, multi-frame local map construction modules, and road network construction modules based on static environment and dynamic objects perception results and offline maps, etc.

基于静态环境与动态目标感知结果及离线地图，设计开发创新的多模态融合算法，如地图融合模块、多帧局部地图构建模块、路网构建模块等。

•Performance optimization for sensor fusion models in vehicle application.

针对传感器融合模型车端应用中进行性能优化。

•Cooperate with Bosch business units in China and worldwide for requirement analysis, technology transfer, and evaluate market attractiveness of new technical solutions.

协同博世中国及全球业务部门进行需求分析、技术转移，并评估新技术方案的市场价值。

•Master’s degree or above with major in Automotive/Automation/Computer Science/Artificial Intelligence/Electrical Engineering/Mechatronics or related.

硕士及以上学历，车辆工程/自动化/计算机科学/人工智能/电气工程/机电一体化或相关专业。

•More than 3 years working experience in automotive electronics, experienced in ADAS, perception fusion.

3年以上汽车电子行业工作经验，具备ADAS及感知融合领域实战经验。

•Strong knowledge in the perception domain, such as object detection, object tracking, semantic segmentation, and depth estimation based on camera/LiDAR.

精通感知算法，包括基于摄像头/激光雷达的目标检测、目标跟踪、语义分割及深度估算等技术。

•Familiar with SW development processes, AUTOSAR architecture.

熟悉软件开发流程及AUTOSAR架构体系。

•Strong pressure resilience, strong sense of responsibility.

抗压能力强，具备高度责任感。

•Professional English: able to use English fluently and accurately (speaking, listening, reading and writing).

专业英语能力：可精准流利运用英语（听说读写）。

Nice to have

•Familiarity with open-source vision libraries such as OpenCV and PCL

熟悉OpenCV、PCL等开源视觉处理库

•Familiarity with AI-based perception backbone, frameworks, and model training

精通基于AI的感知骨干网络、框架及模型训练

•Familiarity with filtering and optimization algorithms

掌握滤波与优化算法

•Experience in local map construction, lane detection, perception & map fusion, perception result fusion, and PnC is a strong plus

具备局部地图构建、车道线检测、感知与地图融合、感知结果融合、规划控制（PnC）经验者优先

•Experience in ADAS sensors, such as cameras, LiDARs, and radars; familiarity with SD/HD map data structure is a strong plus

熟悉ADAS传感器（摄像头/激光雷达/毫米波雷达），掌握标准/高精地图（SD/HD Map）数据结构者优先

•Proficiency and practical experiences in ROS, Python, or C++, and developing in Linux

精通ROS系统，熟练掌握Python/C++，具备Linux环境开发实战经验