lever
Application Engineer
WeRide
CAN
Full-time
Mid
Onsite
Discovered 2 weeks ago
bashcpluspluslinux
Free
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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
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