Tätigkeitsbereich:Produktion Fachabteilung:Strategic & NTP Planning China & MO/EC Hub Gesellschaft:Mercedes-Benz Group China Ltd. Standort:Mercedes-Benz Group China Ltd., Beijing Startdatum:01.09.2026 Veröffentlichungsdatum:03.07.2026 Stellennummer:MER00044II Arbeitszeit:Vollzeit Bewerben Aufgaben Objective of Job: Lead and develop the data-driven backbone of our factory-planning
提前批-产品系统工程师（智能辅助驾驶体验优化） 北京 校招 正式 数字技术 - 算法 硕士及以上 2027届校园招聘-技术提前批 职位 ID：A04337 职位描述 1 用户体验洞察： 深入理解用户在高速、城市复杂场景下的驾驶痛点，结合竞品分析与用户调研，主导领航辅助（NOP/Pilot）及相关功能的产品体验定义。2 数据驱动的交付闭环运营： 基于数据挖掘与实时监控平台，利用AI辅助编程工具，建立可量化的产品体验指标体系。通过A/B测试、埋点分析及用户画像，驱动产品快速迭代决策，持续提升用户对智能辅助驾驶产品的激活率、使用频次与满意度。3 跨部门协同与敏捷落地： 高效联动项目管理、算法研发、硬件工程及现场测试等多个团队，扮演“技术”与“用户”之间的翻译官，推动技术创新向优质用户体验的高效转化与规模化落地。4 前瞻性技术预研： 追踪全球智能辅助驾驶技术演进路径与用户行为变迁，协助开展前瞻性技术预研与应用场景探索，保持产品方案的领先性与差异化竞争力。 职位要求 教育背景硕士及以上学历，2027届应届生，计算机/软件/AI/自动化/电子等相关专业必备能力Linux/Git：熟练Linux开发环境，熟悉Git及CI/CD基本流程C++：熟悉C++11/14/17标准，掌握内存模型、智能指针、STL、多线程编程Python：熟悉多进程/多线程/协程，理解GIL与内存管理机制PyTorch：熟悉PyTorch及分布式训练基本概念，有课程/项目实操经历加分项CUDA/GPU加速实践经历了解LMDB/Arrow/WebDataset等数据格式了解DDP/FSDP/DeepSpeed/Megatron等分布式策略接触过Perf/Nsight/Triton/ ASan等性能工具有训练框架阅读或小改动经历有智能辅助驾驶/机器人/大模型训练相关项目或竞赛经历 投递...
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