Application Engineer

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