- Robot type
- Autonomous Vehicle · Robot AI and Software
- Location
- TucsonArizonaUSA
- Job type
- Customer Success
- Posted
- Aug 17, 2026
- Salary
- $90,000–$110,000 a year
Fleet Reliability Engineer (Mining)
Job description
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.;
Job responsibilities
- Improve reliability of mining vehicle fleet uptime by performing root cause analysis on trending vehicle issues
- Implement long term fixes through designing fleet scalable solutions
- Create, implement, and maintain robust testing procedures, diagnostic tools, and operational metrics to maximize fleet uptime, safety, and overall vehicle stability
- Track down why systems fail or underperform out on the road, and use those findings to help us build stronger, more reliable vehicles
- Work cross functionally with engineering and operations teams for escalations and collaboration on reliability improvements to our fleets with demo and testing performance
Job requirements
- BS/MS in Electrical Engineering, Mechanical Engineering, or similar
- 5+ years experience working with automotive hardware and software
- Experience with software/hardware reliability and testing
- Experience with AV components (LiDAR, RADAR, Cameras, etc.)
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