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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 and is the world's firs

Job Full source details
Weride San Jose, San Jose, CA Source published Jan 17, 2019 Verified 4 hours ago
✓ 100% verification score · Source: weride (lever) · Always confirm final requirements on the original source.
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EmploymentFull-time

Overview

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4 and is the world's firs

Full job description

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4 and is the world's first publicly listed autonomous vehicle (AV) company. Its business footprint now spans more than 60 cities across 13 countries. Powered by the intelligent, versatile, and highly adaptable WeRide One platform, the company provides autonomous driving products and services ranging from Level 2 to Level 4, addressing mobility, logistics, and urban services.

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.

Role Responsibilities: System Bringup & Deployment 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. Incident Triage & Quality Assurance 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. Sensor & System Calibration 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. Cross-Team Collaboration 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.

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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