Application Engineer

WeRide; San Jose (CA); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Premium Medical, Dental & Vision

Free daily meals

Paid vacations & holidays

401K plan

Job summary

WeRide is seeking an engineer to join its autonomous driving team in San Jose, responsible for debugging, bringing up systems, and deploying software on vehicle platforms and embedded systems. You will validate deployments, triage issues, and work across AI, robotics, and operations to maintain stability and safety.

The role requires a Mechanical or Computer Engineering degree and hands-on experience with sensors, ROS-based software, and robot simulators.

Qualifications

• Bachelor’s degree in Mechanical or Computer Engineering or related field.
• Experience with sensors (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 components.

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.
• Calibrate and validate sensors, including cameras, LiDAR, IMU, and GNSS.
• Support control-related calibration to ensure stable and predictable vehicle behavior.
• Collaborate across AI, Robotics and Operations teams and communicate deployment status clearly.

Skills

Robotics sensors experience

C++ / software debugging

ROS-based development

Robot simulators

System understandability

Education

Bachelor’s degree in Mechanical / Computer Engineering or related field

Tools

ROS

Robot simulators

Robot frameworks

Job description

Responsibilities

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:

• 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.

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.

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

$90,000 - $120,000 a year

Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $90,000 - $120,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

WeRide.ai offers competitive salary depending on the experience. Employee benefits include: Premium Medical, Dental and Vision Plan (No cost from employees or their families) Free Daily Breakfast, Lunch and Dinner Paid vacations and holidays 401K plan

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.