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AD Toolchain Platform Engineer
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Resolve online issues, drive continuous technical optimization, and enhance platform efficiency, service quality, and user experience.
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Section Lead, Autonomous Driving Toolchain & Platform
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Previous ADAS dev-test platform maintenance. New dev-test platform development support and knowledge ramp up. 5+ years auto-driving backend platform experience…

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AD Toolchain Platform Engineer

Mercedes-Benz Group AG -
北京市

立即申请

职位详情

1 天前

完整职位描述

Tätigkeitsbereich:Forschung & Entwicklung incl. Design

Fachabteilung:Advanced Design Center China

Gesellschaft:Mercedes-Benz Group China Ltd.

Standort:Mercedes-Benz Group China Ltd., Beijing

Startdatum:31.07.2026

Veröffentlichungsdatum:07.07.2026

Stellennummer:MER00045AN

Arbeitszeit:Vollzeit

Aufgaben

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.

Qualifikationen

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.

Benefits

Mitarbeiter Events

Flexible Arbeitszeit möglich

Hybrides Arbeiten möglich

Gesundheitsmaßnahmen

Mobilitätsangebote

Mitarbeiterrabatte möglich

Parkplatz

Betriebsarzt

Gute Anbindung

Barrierefreiheit

Kantine, Café

KontaktMercedes-Benz Group China Ltd.

CEJY Science Park, A1 Disheng South Road100176 BeijingDetails zum Standort

Ning Ruan E-Mail: [email protected]

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ad toolchain platform engineer 个职位

AD Toolchain Platform Engineer

Senior Backend Engineer (AI-Augmented Development)

Sr Application Engineer- Automotive MCU

Automotive fastRPC SME (Subject Matter Expert)

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