Jobs / China / Robert Bosch LLC

Robert Bosch LLC

EOL标定算法工程师_XC

Suzhou, Jiangsu, CN Posted today

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Skills this job asks for

C++PythonLinux

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Sponsorship verdict

No sponsorship evidence yet

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  • Confirmed live todayWhen a source last listed this job as open.
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Before you apply

Sponsorship unknown

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About the role

• 负责智能驾驶/ADAS 多传感器标定算法的设计、开发、优化与落地,包括相机内外参标定、相机-车辆标定、Camera-LiDAR 联合标定、多相机标定、EOL产线标定等。 • 负责标定算法核心模块的开发、优化及工程化实现。 • 负责标定算法的精度、鲁棒性和收敛性能优化,并针对实际道路及车辆运行场景进行算法分析和改进。 • 负责算法从数据分析、算法开发到实车测试和量产部署的落地。   1. 基础要求 • 计算机、自动化、电子信息、车辆工程、数学、控制、机器人等相关专业,硕士及以上学历; • 具有计算机视觉、机器人、自动驾驶、SLAM、三维点云或多传感器融合相关项目2年以上经验; 2. 算法能力 • 熟悉相机标定、坐标系变换及三维几何基础,掌握旋转矩阵、四元数、Euler Angle 等姿态表示方法; • 熟悉计算机视觉及三维几何算法,如 Optical Flow、特征匹配、PnP、RANSAC、Homography、Vanishing Point、ICP/GICP 等; • 熟悉非线性优化及 Ceres、g2o 等优化框架,具备标定算法精度、鲁棒性和收敛性分析能力。 3. 工程能力 • 熟悉 C/C++、Python 及 Linux 开发环境,具备良好的代码实现、调试和性能优化能力; • 熟悉 OpenCV、PCL、Eigen、Ceres 等常用算法库,具备算法模块工程化和量产部署经验; • 具备较强的数据分析和问题定位能力,能够结合实际数据、日志及实车测试结果进行算法迭代和优化。 加分项 • 具有智能驾驶/ADAS 量产项目开发经验; • 具有 Camera、LiDAR等多传感器标定经验; • 具有实际车辆道路测试及标定问题分析经验; • 具备 AI 辅助编程实践经验,熟悉 GitHub Copilot、OpenAI Codex 等工具,能够利用 AI 提升算法开发、调试和代码重构效率; • 具有嵌入式/车载平台算法部署及 CPU性能优化经验。

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