AD Toolchain Architect (Recompute)

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 Architect for AD Toolchain Platform is a critical position within the Autonomous Driving Data Team. This role is mainly responsible for defining the simulation technology architecture for AD systems in China with a primary focus on developing and scaling the robust open-loop replay and closed-loop log-simulation systems utilizing real vehicle data. The candidate will work closely with cross-functional teams to ensure successful recompute tooling delivery fulfilling stakeholder needs.

As recompute architect, 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 including but not limited to:

1. Define Recompute/Simulation concept

• Define future-proof simulation technology concept and architecture for current and next-generation AD systems

• Work closely with internal stakeholders, headquarters, industry partners, regulatory bodies to align technology roadmaps

• Promote concept reuse and achieve strategic synergy

2. Design and implement AD recompute solution

• Design and implement high-performance closed-loop log-simulation pipeline as primary focus

• Lead the strategy and technical design for core simulation capabilities, prioritizing real-world data ingestion, management, and replay.

• Deliver architectural solutions for accurate vehicle dynamics modeling, sensor data replay and virtual environment interaction within log-sim context

• Ensure all architectural deliverables adhere to relevant regulatory and functional safety (ISO 26262) requirements

3. Fulfill stakeholder and business needs

• Identify and manage internal stakeholder needs on AD Recompute tooling

• Work with internal stakeholders and suppliers to realize required use cases successfully

• Provide evidence for business values in AD development such as efficiency increase 

• Master degree in field such as Computer Science, Electrical Engineering, Robotics or equivalent.
• More than 8 years of experience in autonomous driving, vehicle software, or simulation domains
• Minimum 5 years of proven experience as system/solution architect or technical lead focused on simulation technology for ADAS/AD development
• Deep and hands-on expertise with ROS/ROS2 ecosystems, particularly in data recording (rosbag), playback, and tooling for AD systems
• In-depth understanding of full AD stack (perception, planning, control, etc.) and in-vehicle networks (CAN/CAN-FD, in-vehicle Ethernet, SOME/IP).
• Deep knowledge of simulation methodologies with proven experience in closed-loop simulation frameworks, sensor data modeling and scenario extraction from logs. Familiarity with tools like CARLA.
• Knowledge of Fast RTPS and DDS middleware for ROS 2.
• Proficient in C++ programming and compiling.
• HiL bench setup experience preferred
• Excellent communication skills and ability to collaborate effectively with cross-functional teams
• Excellent skills in stakeholder management as well as technical leadership
• Strong analytical and problem-solving abilities
• A proactive and results-oriented approach to work
• Fluent English language skills
• Willingness to travel inside China and abroad