Fleet Reliability Engineer

Applied Intuition Applied Intuition · Robotics · Sunnyvale, CA · Vehicle Operations

This role focuses on maintaining and enhancing the reliability of vehicle fleets, specifically optimizing operational hardware and software like sensor suites and onboard compute systems. It involves rigorous validation testing, root cause analysis of vehicle issues, and implementing scalable solutions to maximize fleet uptime, safety, and stability. The role requires experience with automotive hardware and software, AV components, and hardware reliability and testing.

What you'd actually do

  1. Improve reliability of vehicle fleet uptime by performing root cause analysis on trending vehicle issues
  2. Implement long term fixes through designing fleet scalable solutions
  3. Create, implement, and maintain robust testing procedures, diagnostic tools, and operational metrics to maximize fleet uptime, safety, and overall vehicle stability
  4. Track down why systems fail or underperform out on the road, and use those findings to help us build stronger, more reliable vehicles
  5. Work cross functionally with engineering and operations teams for escalations and collaboration on reliability improvements to our fleets with demo and testing performance

Skills

Required

  • BS/MS in Electrical Engineering, Mechanical Engineering, or similar
  • 5+ years experience working with automotive hardware and software
  • Experience with hardware reliability and testing
  • Experience with AV components (LiDAR, RADAR, Cameras, etc.)

Nice to have

  • Knowledge of automotive communication (CAN/CAN FD, LIN, Automotive Ethernet)
  • Knowledge/Experience with common CAN/CAN FD tools (Vector, PCAN View/Explorer)
  • Experience flashing software/firmware updates on hardware (ECUs, etc)
  • Experience with software tools/services like Slack, Jira, and Confluence

What the JD emphasized

  • 5+ years experience working with automotive hardware and software
  • Experience with hardware reliability and testing
  • Experience with AV components (LiDAR, RADAR, Cameras, etc.)