Diligent Robotics
Fleet Engineer
About this role
Diligent is seeking a Fleet Engineer in Austin to investigate and resolve reliability issues across deployed robotic systems. You'll conduct hands-on failure analysis, perform root-cause investigations, and drive corrective actions across hardware, software, and operations teams while supporting field technicians.
What you'll do
- Lead triage and bench/lab failure analysis on mobile bases, charging systems, motion/power, connectivity, and sensors
- Perform root-cause analysis using structured methodologies (5-why, FMEA, 8D) across electrical, mechanical, and firmware domains
- Extract and analyze fleet data and logs to identify trends, validate hypotheses, and define problem statements
- Convert field-technician reports into clear problem statements and provide on-call support to minimize downtime
- Drive corrective actions to completion across engineering, operations, manufacturing, and vendor partners
- Design test fixtures, instrumentation, and bench setups to accelerate debugging workflows
What they're looking for
- Electrical debugging (schematics, multimeter, oscilloscope, power analysis)
- Mechanical debugging (mechanisms, tolerances, dimensional measurement, mechanical drawings)
- System log analysis and event reconstruction
- Hypothesis-driven quantitative analysis and statistical reasoning
- Root-cause analysis methodologies (FMEA, 5-why, fishbone, 8D)
- Cross-functional collaboration and communication
- Robotics or autonomous systems experience
- Hardware instrumentation and test infrastructure design
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Diligent Robotics
Diligent Robotics builds autonomous mobile robots designed for real-world deployment and operation. The company is hiring Machine Learning Engineers, Manufacturing Reliability Engineers, and Fleet Engineers to develop manipulation systems, oversee production quality, and ensure reliability across deployed robotic fleets.
- Website
- diligentrobotics.com
Likely interview questions
- Walk us through a time you debugged a complex electro-mechanical failure in the field. How did you move from initial symptoms to root cause, and what tools or methodologies did you use?
- Describe your experience analyzing system logs or telemetry data to diagnose failures. How do you account for confounding factors and determine whether you have enough data to draw a conclusion?