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Robert Bosch LLC

泊车建图定位算法工程师_XC

Suzhou, Jiangsu, CN Posted today

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Skills this job asks for

C++PythonPyTorch

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About the role

• 在智能泊车项目中负责空间定位与局部建图算法的开发与量产落地,并主导解决量产过程中遇到的各类棘手长尾场景。 • 设计并实现高效的多传感器数据融合估计框架(包含不限于惯导 IMU、轮速计、视觉相机、激光雷达等数据),确保车辆在无 GPS 信号的地下车库、多层停车场等复杂环境里依然能精准感知自身位置。 • 针对资源受限的车载算力芯片进行深入的底层代码优化,在保证定位精度的同时,最小化内存和计算开销,提升算法的运行效率。 • 敏锐捕捉 SLAM、三维重建及多模态融合领域的前沿学术与行业动向,评估并推动先进技术在实际量产产品中的应用落地。 • 学历与专业:硕士及以上学历,计算机科学、车辆工程、数学、机器人学等相关专业。 • 工作经验:2年以上建图定位的开发经验。 • 理论基础:深刻理解 SLAM 技术链路(如图优化、状态估计等理论),熟悉常用的非线性优化库(如 Ceres、g2o、GTSAM) • 编程能力:精通 C++ 编程,具备良好的代码风格和工程实践能力;同时熟悉 Python,能够用于快速原型验证和工具开发。 • 综合素质: 具备出色的逻辑思维能力、问题分析与解决能力,以及良好的沟通能力和团队协作精神 加分项: • 拥有 AI 模型相关的学习背景或项目经验(例如:熟悉如何利用深度学习网络进行特征点提取/匹配、语义分割或端到端定位,熟悉 PyTorch 框架及 TensorRT 部署流程者尤佳)。 • 完整经历过至少一款 APA 自动泊车或 AVP 代客泊车等量产功能研发全周期的候选人优先

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