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About the Role

Diligent builds helpful robots that work safely and autonomously in real-world environments. As a Fleet Engineer, you will own the reliability and continuous improvement of our deployed robotic fleet, leading hands-on investigations into failures across various hardware and software subsystems. You will combine remote data analysis with lab-based failure analysis, turning field data into actionable insights and driving corrective actions.

Responsibilities

• Lead triage and bench/lab failure analysis across mobile base, charging/docking, motion and power, connectivity, and sensor hardware.
• Diagnose failures from component to system level using standard methodologies.
• Analyze fleet data and logs to define problem statements, surface trends, and validate hypotheses.
• Turn field-technician reports into problem statements and own escalated issues as part of an on-call rotation.
• Drive short- and long-term fixes with engineering, operations, and product teams, including supplier corrective actions.
• Build fixtures, instrumentation, and bench test setups to accelerate debug workflows.
• Document debugging procedures and root-cause findings.
• Contribute to fleet reliability standards.
• Raise the team's investigative rigor and mentor junior members over time.

Requirements

• Hands-on electrical debugging experience, including schematics, multimeter/oscilloscope use, and fault isolation.
• Hands-on mechanical debugging experience, including understanding mechanisms, tolerances, and reading mechanical drawings.
• Hypothesis-driven, quantitative debugging skills, including framing problems, designing tests, and reasoning about data.
• Experience with system log analysis to reconstruct events and isolate failures.
• End-to-end versatility and ability to conduct investigations independently.
• 3+ years in robotics, autonomous vehicles, or complex electro-mechanical systems, or an adjacent field.
• Bachelor's degree in Electrical, Mechanical, Mechatronics, Robotics, or a related engineering field.

Skills

• Robotics
• Autonomous Vehicles
• Electro-mechanical Systems
• Electrical Debugging
• Mechanical Debugging
• Root Cause Analysis
• Data Analysis
• ROS
• Hardware-in-the-loop
• Networking
• Firmware

Location

• Austin, TX

Work Type

• Onsite
• Full-time

Experience Level

• 3+ years
• 5+ years / senior scope preferred

Education Level

• Bachelor's degree
• Master's a plus

About the Company

• Diligent builds helpful robots that work safely and autonomously in real world environments.
• We move quickly, solve messy problems, and care deeply about reliability at scale.