AD Toolchain Platform Engineer ID212498

该职位来源于猎聘 China is Mercedes-Benz’s largest passenger car market globally. At Mercedes-Benz R&D China, we are committed to delivering China-fit ADAS/AD solutions through cutting-edge technologies for our Chinese customers. We are now seeking talented professionals who share our passion and dedication to building advanced, China-oriented ADAS/AD systems.

The AD Tool chain Platform Full-Stack Developer is a key role within the Autonomous Driving Data team. This position focuses on the design, development, iteration and operation of autonomous driving data-driven platforms. You will mainly undertake backend development work and also participate in front-end development to deliver end-to-end platform capabilities. Combining your Java/Python development experience with AD data driven understanding, you will build high-performance, stable and scalable data platforms to support the full lifecycle of autonomous driving data collection, processing, labeling, training, simulation (recompute, HIL, SIL and so on), evaluation and validation. You will work closely with cross-functional teams to ensure successful delivery that meets stakeholder requirements. Key Responsibilities

• Design, develop, optimize and maintain backend services for the autonomous driving data-driven platform with Java and Python, guaranteeing system stability, performance and scalability.
• Independently engage in front-end development and page iteration to deliver end-to-end full-stack features as scheduled.
• Deeply explore autonomous driving business scenarios covering data collection, cleansing, annotation, analysis and model training, and deliver tailored technical solutions to meet business requirements.
• Align with product, algorithm, testing and operation teams to clarify requirements, and take charge of technical design, coding, joint debugging and production release.
• Resolve online issues, drive continuous technical optimization, and enhance platform efficiency, service quality, and user experience.
• Keep track of industry technology trends, summarize practical experience, and advance technical standardization and team capability building.
• Manage the full lifecycle of massive autonomous driving data including collection, cleansing, annotation, and governance. Design and customize data interfaces, build data middle platforms, and iterate data-driven toolchains to support business development.

Education Master's degree in fields such as Computer Science, Electrical Engineering, Robotics, Automotive Engineering or equivalent.

Experience

• Experienced Candidates
• More than 5 years of experience in autonomous driving, vehicle software, or simulation domains
• Minimum 3 years of proven experience as developer or solution architect focused on ADAS tool chain
• Fresh Graduates
• Bachelor’s, master's or above in Computer Science, Automotive Engineering or relevant disciplines
• Keen interest in ADAS tool chain, autonomous driving and simulation technology
• Good, logical thinking and learning ability

Specific knowledge

• Technical Requirements
• Proficient in JAVA/Python for backend implementation.
• Solid command of Linux systems, including common commands, service deployment, log-based trouble shooting and process management.
• Familiar with mainstream communication protocols such as MQTT and RESTful API.
• Skilled in relational and non-relational databases, with hands-on experience in database application and performance optimization.
• Preferred Qualifications
• Practical experience in closed-loop simulation framework development, multi-sensor data modeling, scenario rendering, road test scenario mining and scenario library construction; experience in secondary development of autonomous driving simulation toolchains is a plus.
• Hands-on experience in ADAS/AD HiL bench setup is preferred.
• Personal Competencies & Other Requirements
• Strong requirement management capability and basic technical leadership.
• Outstanding analytical thinking and problem-solving skills.
• Excellent communication and cross-team collaboration abilities.
• Proactive, results-driven working attitude.
• Fluent in English.
• Available for domestic and overseas business trips.