Fleet Engineer, Diligent Robotics

• Hands-on electrical debugging — schematics, multimeter/oscilloscope, power, connector and harness fault isolation, basic instrumentation
• Hands-on mechanical debugging — mechanisms, tolerances and fits, fixturing, dimensional/force measurement, mechanical drawings; able to pinpoint what is physically wrong with a unit
• Hypothesis-driven, quantitative debugging — frame the problem, design discriminating tests, reason about confounding factors, base rates, and sample size, and update conclusions when the evidence contradicts them
• System log analysis — read raw system/robot logs to reconstruct events and isolate failures (the backbone of most investigations)
• End-to-end versatility — comfortable across subsystems, running an investigation independently to conclusion
• 3+ years in robotics, autonomous vehicles, or complex electro-mechanical systems — or an adjacent field (medical devices, industrial automation, semiconductor and capital-equipment field service, automotive or aerospace Maintenance/Repair/Overhaul, EV charging). 5+ years / senior scope preferred
• Bachelor's in Electrical, Mechanical, Mechatronics, Robotics, or a related engineering field (required); Master's a plus

Desirable

• This role is based in Austin, TX. It will require 15-20% travel along with close collaboration across software, hardware, operations, and product engineering teams
• As a Fleet Engineer, you'll own the reliability and continuous improvement of our deployed robotic fleet — leading hands-on investigations into how and why robots fail in the field, across the mobile base, charging/docking, motion and power, connectivity (modem), and sensor hardware
• You'll combine remote data analysis with bench/lab failure analysis at our Austin HQ, turning field-technician reports and fleet data into clear problem statements, validated root causes, and corrective actions driven to closure with engineering, operations, manufacturing, and vendors
• Fleet Reliability & Hands-On Debugging: Lead triage and bench/lab failure analysis across the mobile base, charging/docking, motion and power, connectivity, and sensor hardware —
• Getting hands-on with returned units to reproduce, instrument, and isolate the failure
• Root Cause Analysis: Diagnose failures from component level (electrical, mechanical, firmware) to system level, applying standard methodologies (5-why, fishbone, fault-tree, FMEA, 8D)
• Data-Driven Investigation: Pull and analyze fleet data and logs to define problem statements, surface trends, and validate hypotheses quantitatively — accounting for confounding factors, base rates, and sample size
• Field Synthesis & On-Call: Turn field-technician reports into crisp problem statements; own escalated issues (on-call) to support the field team and minimize downtime
• Corrective Action & Cross-Functional: Drive short- and long-term fixes (hardware, software, operational, process) to closure with engineering, operations, and product — including supplier corrective actions and design feedback with vendors and manufacturing
• Tooling & Test Infrastructure: Build the fixtures, instrumentation, and bench test setups that accelerate debug workflows
• Documentation & Standards: Document debugging procedures and root-cause findings; contribute to fleet reliability standards
• Growth: Raise the team's investigative rigor, work closely with technicians, and grow into mentoring over time
• What Success Looks Like:
• Improved FPY and reduced rework rates across production builds
• Reduced per-unit cycle time for test/provisioning while increasing test coverage
• Stable, fully automated provisioning flow with minimal manual intervention