Mercedes-Benz Group China Ltd.
Automotive
ADToolchainPlatformFullstackDeveloper
Neural analysis suggests this role is
optimal for Senior candidates.
“AD Toolchain Platform Fullstack Developer at Mercedes-Benz Group China Ltd.. Skills: Fullstack development, Cloud-based services, Simulation technology, ADAS/AD development. Develop tooling service. Define cloud-based service”
Industry & Context.
Analytical abilities; Problem-solving abilities
Willingness to travel
What You'll Do.
Develop tooling service
Define cloud-based service
Implement cloud-based service
Integrate market demands
Integrate regulatory standards
Integrate supplier inputs
Deliver simulation solutions
How You'll Work.
Team & Collaboration
Cross-functional teams; Stakeholder needs
Communication Scope
Excellent communication
Full Job Description
China is the biggest passenger car market for Mercedes-Benz. In Mercedes-Benz R&D China. We strive to provide China-fit ADAS/AD products through advanced technologies to our Chinese customers. We are currently looking for ADAS/AD talent who share the same passion and enthusiasm for developing a China-fit ADAS/AD system. The AD toolchain platform full-stack developer is an essential position within the Autonomous Driving Data Team. This role is responsible for developing tooling service for HiL and SiL use cases in the field of China AD business with a primary focus on defining and implementing cloud-based service for HiL tests utilizing artificial or real vehicle data. The candidate will work closely with cross-functional teams such as Function and Digital Testing team to ensure successful delivery fulfilling stakeholder needs . As AD toolchain platform full-stack developer , you will also be responsible for integrating China-specific market demands, regulatory standards, and inputs from suppliers and HQ to deliver scalable, secure, and compliant simulation solutions. Education: Master degree in field such as 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 developer or solution architect focused on cloud-based HiL services and simulation technology for ADAS/AD development Specific knowledge: Good knowledge of simulation methodologies with proven experience in esp. AD system Hardware-in-the-loop (HiL) Proficient in cloud-based service development including both front- and backend Good understanding of full AD stack (perception, planning, control, etc . ) and in-vehicle networks (CAN/CAN-FD, in-vehicle Ethernet, SOME/IP) Basic knowledge in closed-loop simulation frameworks, sensor data modeling and scenario extraction preferred Proficient in Python programming for functional scrip
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