AD Toolchain Architect (Recompute)
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Before you apply
LocationMultiple Locations
Typefull-time
SeniorityLead
Experience8+ yrs
Company size10,000+ people
First seenOct 18, 2026 · 2w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Master degree in 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
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
HiL bench setup experience
Willingness to travel inside China and abroad
Skills
ROS/ROS2
rosbag
CAN/CAN-FD
in-vehicle Ethernet
SOME/IP
CARLA
Fast RTPS
DDS
C++
HiL bench
About the company
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.
About the role
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.
Responsibilities
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
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Define future-proof simulation technology concept and architecture for current and next-generation AD systems
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Work closely with internal stakeholders, headquarters, industry partners, regulatory bodies to align technology roadmaps
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Promote concept reuse and achieve strategic synergy
2. Design and implementAD recomputesolution
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Design and implement high-performance closed-loop log-simulation pipeline as primary focus
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Lead the strategy and technical design for core simulation capabilities, prioritizing real-world data ingestion, management, and replay.
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Deliver architectural solutions for accurate vehicle dynamics modeling, sensor data replay and virtual environment interaction within log-sim context
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Ensure all architectural deliverables adhere to relevant regulatory and functional safety (ISO 26262) requirements
3. Fulfill stakeholder and business needs
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Identify and manage internal stakeholder needs on AD Recompute tooling
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Work with internal stakeholders and suppliers to realize required use cases successfully
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Provide evidence for business values in AD development such as efficiency increase
Requirements
•
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