Application Engineer

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 10 countries around the world. WeRide has operated a self-driving fleet for more than 2,200 days. This position will be responsible for debugging software, hardware and system issues on autonomous vehicles; managing system release; and developing tools to improve efficiency of incident triage. What you will do:

Role Responsibilities:

Deploy and integrate autonomous driving software onto vehicle platforms and embedded computing systems.

Validate system functionality after fleet deployment and ADV delivery, including Linux/Bash-based debugging on embedded systems.

Report, document and track fleet issues and drive cross-team effort to solve them.

Perform incident triage and root-cause analysis with a strong understanding of data flow in robotics systems.

Investigate and debug issues across the stack, including C++ code, Linux system issues, and hardware failures, and recommend mitigation or corrective actions.

Integrate and validate the full autonomy stack, including Perception, Planning & Control (PNC), and hardware.

Contribute to quality assurance processes and continuous improvement of system stability and safety.

Calibrate and validate sensors, including cameras, LiDAR, IMU, and GNSS.

Understand vehicle, world, and sensor coordinate systems.

Support control-related calibration to ensure stable and predictable vehicle behavior.

Support technical demos and pilot deployments, delivering on-demand technical demonstrations and stakeholder communication with strong ownership.

Quickly resolve issues during demos or provide timely mitigation solutions when needed.

Collaborate closely with AI, Robotics, and Operations teams.

Clearly communicate technical findings and deployment status across teams.

Requirements:

Bachelor’s degree in Mechanical Engineering, Computer Engineering, or a related field

Experience with sensors (e.g. IMU, lidar, camera, odometry, radar)

Experience with ROS-based software development for robotic systems

Hands-on experience with robot simulators or other robot frameworks

Enthusiasm to understand a complex system and its various components