-作为 MB.OS 端到端软件旅程与工具链（E2E Software Journey & Toolchain）解决方案架构师（Solution Architect），负责工具链架构设计、系统/算法开发以及工程交付，以满足中国研发部门在**自动驾驶系统（Autonomous Driving System）、信息娱乐系统（Infotainment）以及 MB.OS 端到端软件旅程（E2E SWJ）**相关领域的IT业务需求。
-深入理解 IT/研发战略及行业发展趋势，能够根据业务需求并遵循相关战略，对标行业标准，主导并设计合适的IT工具链解决方案。
-与研发合作伙伴保持高效沟通和紧密协作，确保实现价值交付。
-作为 IT解决方案架构师，与IT团队同事在架构设计原则、技术杠杆（Tech Levers）、人工智能（AI）及其他技术主题方面开展协作。
任职要求:
计算机科学、自动化、车辆工程、机器人或相关专业，本科及以上学历。
具备 7年以上汽车行业工作经验，其中具有 3年以上IT解决方案相关经验者优先。
具备 5年以上工具链解决方案架构设计、开发及交付经验，相关领域包括软件旅程（Software Journey）、自动驾驶、机器人仿真系统、AI等。
软件工程及架构设计能力
具备扎实的软件工程和架构设计能力，包括：
熟悉Linux开发环境。
熟练掌握至少一种编程语言，例如 C++、Python或其他编程语言。
具备复杂系统的设计和交付经验。
深入理解自动驾驶系统技术栈，例如规划（Planning）、感知（Perception）、定位（Localization）、控制（Control）、E2E、VLA及仿真（Simulation）。
熟悉自动驾驶相关的数据格式及中间件，例如 ROS、rosbag、Cyber Record等。
具备云计算、云端平台架构、CI/CD及DevOps相关经验。
具备深厚的 AI知识及实际动手经验，例如 AI Agent应用。
熟悉 Agile（敏捷开发）和SAFe。
综合能力:
具备较强的自我驱动力及团队激励能力。
具备较强的主人翁和结果导向意识，并具有强烈的成功意愿。
具备全局思维和良好的洞察力。
具备优秀的跨职能沟通、协调及冲突管理能力。
中英文流利，具备德语能力者优先。
As Solution Architect of MB.OS E2E Software Journey & Toolchain, be responsible for toolchain architecture design, system/algorithm development and engineering delivery to meet IT RD China business needs from RD departments on Autonomous Driving System, Infotainments and MB.OS E2E SWJ topics.
Good understanding of IT/RD strategies and industry trends, be able to lead/design best IT toolchain solutions according to business requirements following strategy benchmarking industry standard.
Effective communication and close collaboration with RD partners to ensure value delivery.
As IT solution architect, collaboration with IT colleagues on architecture design principle, tech levers, AI and other technology topics.
Qualification:
Bachelor’s degree or above in Computer Science, Automation, Vehicle Engineering, Robotics, or related fields.
7+ years working experience in automotive industry and among which 3+ years’ experience providing IT solutions preferred.
5+ years of experience in toolchain solution architecture design/development/delivery on SW Journey/autonomous driving/robotics simulation systems/AI etc.
Solid software engineering and architecture design capabilities:
Familiar with Linux development environment
Proficient in at least one programming language such as C++/Python/other programming languages
Experience in designing and delivering complex systems
In-depth understanding of tech stack of autonomous driving systems, such as planning/perception/localization/control/E2E/VLA/simulation
Familiar with autonomous driving data formats and middleware: ROS / rosbag / Cyber Record, etc
Experience on cloud computing, cloud-based platform architectures, CI/CD and DevOps.
Profound AI knowledge and hands on experience such as agent application.
Good knowledge of Agile, SAFe.
Strong self-motivation, team motivation ability.
Strong ownership, result driven, willing to win.
Big picture thinking and good insight.
Excellent cross-functional communication, coordination, and conflict management skills.
Fluent in English and Chinese, German is bonus point.
