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Application Engineer

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Onsite

Application Engineer

WeRide

Application Engineer

Skills

Testing & QAAILinux

1 month ago

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Important information


Contract type:

Permanent

Location:

San Jose, CA, USA

Work mode:

Onsite

Published on:

16 September 2026

What they need


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:

  • 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.

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 yearYour 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 planWe 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.

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