Mercedes-Benz Group China Ltd.
Automotive
SectionLead,ADToolchainPlatform自动驾驶工具链平台小组负责人
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“Section Lead, AD Toolchain Platform 自动驾驶工具链平台小组负责人 at Mercedes-Benz Group China Ltd.. Skills: AD Toolchain Architecture, Full-Stack Development, Cloud-native approach, HiL/SiL Service Solution. Lead AD toolchain architecture design. Design overall AD toolchain architecture”
Industry & Context.
Analytical skills; Problem-solving skills
Willingness to travel
What They're Looking For.
Must Have
Master’s degree in Computer Science, 5+ years experience in autonomous driving, 3+ years experience as developer/solution architect, Proficient in cloud-native full-stack development, Hands-on experience in large-scale cloud service planning, Hands-on experience in microservice decomposition, Hands-on experience in high-availability design, Hands-on experience in O&M optimization, Skilled in full-link development, Skilled in performance tuning, Skilled in iterative upgrading of front-end and back-end systems, Solid Linux knowledge, Fluent English
Nice to Have
Basic knowledge of closed-loop simulation framework development, Practical experience in closed-loop simulation framework development, Experience with multi-type sensor data modeling, Experience with scenario rendering, Experience with massive road test scenario extraction, Experience with scenario library secondary development, Experience with ADAS/AD HiL bench setup
What You'll Do.
Lead AD toolchain architecture design
Design overall AD toolchain architecture
Design high-performance cloud-based core services
Integrate existing services into platform
Enable end-to-end closed-loop services
Define strategy for core service capabilities
Define technical design for core service capabilities
Prioritize automation of task execution
Prioritize automation of data circulation
Prioritize automation of report generation
Deliver architectural solutions for automated pipelines
Ensure architectural deliverables comply with data compliance
Ensure architectural deliverables comply with technical standards
Design and implement high-performance cloud-based HiL/SiL services
Lead strategy for core HiL/SiL service capabilities
Lead technical design for core HiL/SiL service capabilities
Emphasize automation of task execution for HiL/SiL
Emphasize automation of reporting for HiL/SiL
Deliver architectural solutions for automated HiL/SiL pipelines
Ensure HiL/SiL architectural deliverables comply with data compliance
How You'll Work.
Team & Collaboration
Cross-functional collaboration
Full Job Description
a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } Task Description 1. AD Toolchain Architecture Design & Full-Stack Development Lead the design of the overall AD toolchain architecture with a cloud-native approach, covering core modules such as simulation, data management, and automated testing Design and implement high-performance cloud-based core services, integrate existing services into the platform, and enable end-to-end closed-loop services Define the strategy and technical design of core service capabilities, prioritizing automation of task execution, data circulation, and report generation for ADAS/AD system releases Deliver architectural solutions for highly automated pipelines, including user-friendly journeys, seamless integration with MB IT systems, and highly scalable module design Ensure all architectural deliverables comply with relevant data compliance requirements and technical standards, with a strong focus on reusability and maintainability of components 2. HiL / SiL Service Solution Design and Implementation Design and implement high-performance cloud-based HiL/SiL services as a primary focus area Lead the strategy and technical design of core HiL/SiL service capabilities, emphasizing automation of task execution and reporting in ADAS system releases Deliver architectural solutions for highly automated HiL/SiL service pipelines with a friendly user journey and seamless integration with MB IT systems Ensure all HiL/SiL architectural deliverables comply with data compliance requirements Qualification Education Master’s degree in Computer Science, Electrical Engineering, Robotics, Automotive Engineering, or equivalent. Experience More than 5 years of experience in autonomous driving, vehicle software, or simulation domains Minimum 3 years of proven experience as a developer or solution architect focused on ADAS toolchain Specific Knowledge Proficient in cloud-native full
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