Senior Fleet Reliability Engineer – Automotive AI

Applied Intuition; Om Ered; On-site; SAR 360,000 - 600,000; Full time

Job summary

Applied Intuition, Inc. is seeking a Fleet Reliability Engineer to maintain and enhance the reliability of vehicle fleets across multiple projects, focusing on sensor suites and onboard compute systems.

You will drive systemic quality improvements, design tests, and partner with engineering and operations to scale fleet uptime and safety across on-road vehicles.

This role requires hands-on hardware and software experience and a proactive approach to root-cause analysis.

Qualifications

• BS/MS in Electrical or Mechanical Engineering or equivalent experience.
• 5+ years of automotive hardware and software experience.
• Experience with hardware reliability and testing.

Responsibilities

• Improve reliability of vehicle fleet uptime by performing root cause analysis on trending vehicle issues.
• Design fleet scalable solutions to implement long term fixes.
• Create, implement, and maintain testing procedures, diagnostic tools, and metrics to maximize uptime and safety.
• Investigate why systems fail on the road and feed findings back to strengthen vehicles.
• Collaborate cross-functionally with engineering and operations for reliability improvements.

Skills

Automotive hardware/softwareexperience

Hardware reliability testing

AV components (LiDAR, RADAR, Cameras)

Education

BS/MS in Electrical or Mechanical Engineering

Tools

CAN/CAN FD tools (Vector, PCAN View/Explorer)

Automotive Ethernet

Slack/Jira/Confluence

ECUs firmware flashing

Job description

Applied Intuition, Inc. is seeking a Fleet Reliability Engineer to maintain and enhance the reliability of vehicle fleets across multiple projects, focusing on sensor suites and onboard compute systems.

You will drive systemic quality improvements, design tests, and partner with engineering and operations to scale fleet uptime and safety across on-road vehicles.

This role requires hands-on hardware and software experience and a proactive approach to root-cause analysis.