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
Skills Required
- Bachelor's degree in Mechanical Engineering, Computer Engineering, or 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
WeRide.ai Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about WeRide.ai and has not been reviewed or approved by WeRide.ai.
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Affordable Benefits — Medical, dental, and vision are described as company‑paid for U.S. roles, often extending to dependents. Employer-paid premiums minimize out‑of‑pocket costs.
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Wellbeing & Lifestyle Benefits — Free daily hot breakfast, lunch, and dinner are prominently offered. Everyday meal perks enhance on‑site convenience and overall experience.
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Equity Value & Accessibility — An employee stock plan and equity eligibility are included in U.S. offers. Access to ownership can augment total compensation for many roles.
WeRide.ai Insights
What We Do
WeRide is a global leading company that develops Level 4 autonomous driving technologies, bringing smart cities with new products, new business model and new experience. WeRide has received strategic investments from top-tier global automakers, including Renault-Nissan-Mitsubishi Alliance and Yutong Group. WeRide is the first startup in the world that holds driverless test permits in both China and the US. Through strategic alliances with car makers, mobility and logistics service platforms, WeRide offers an all-rounded product mix of Robotaxi, Mini Robobus and Robovan to provide multiple services including online ride-hailing, on-demand transport and urban logistics. WeRide launched China’s first Robotaxi service, completely open to public, in November 2019, in Guangzhou, China, covering an area of 144 square kilometers. WeRide has also conducted commercial pilot operations and fully driverless testing for Mini Robobus and Robovan. Established in 2017, WeRide is headquartered in Guangzhou, China, and maintains R&D and operation centers in Beijing, Shanghai, Shenzhen, Nanjing, Wuhan, Zhengzhou and Anqing, as well as San Jose in the US. It employs a highly skilled team of over 800 employees around the globe and has extensive domestic and international experience in R&D, business development and operations.
