Field Quality Engineer

Harbinger Motors Inc.•Garden Grove, CA

About The Position

As a Field Quality Engineer at Harbinger Motors, you aren’t just monitoring quality—you are the front-line detective ensuring our next-generation electric vehicles redefine industry standards for uptime and durability. You will bridge the gap between real-world performance and engineering design, using a mix of hands-on troubleshooting and advanced data analytics to solve complex problems before they impact the customer.

Requirements

The Technical "Triple Threat": Proven experience troubleshooting mechanical systems (chassis, drivetrain), electrical architectures (HV systems, wiring harnesses), and software integration (CAN bus communication, over-the-air updates).
Analytical Rigor: Proficiency in reliability software and methodologies (e.g., Weibull analysis, FMEA, FTA, or Monte Carlo simulations).
Field Grit: You are comfortable working in the field, under a vehicle, or in a lab setting. You thrive when the solution isn't in a manual.
Communication Skills: The ability to translate high-level technical data into clear, concise reports for executive leadership and actionable tasks for engineering teams.
Bachelor’s degree in Mechanical, Electrical, or Reliability Engineering (or equivalent experience).
3-10 years of experience in Field Quality, Reliability Engineering, or a highly technical Service Engineering role within the EV or automotive space.
Strong proficiency in data management tools (SQL, Python, or specialized BI platforms).
Hands-on experience with diagnostic tools (Oscilloscopes, Multimeters, CANalyzer/CANoe).
Willingness to travel to customer sites as needed.

Responsibilities

Failure Analysis & Troubleshooting: Act as the primary technical expert for diagnosing complex, systemic issues across mechanical, electrical, and software domains. You’ll be the person digging into the "why" behind a fault code or a structural fatigue point.
Predictive Reliability: Utilize predictive reliability analysis to identify potential failure modes in our fleet. You won't just wait for things to break; you’ll use statistical tools to forecast when they might.
Product Reliability Engineering: Partner with the hardware and software teams to implement reliability growth plans. You will translate field data into actionable design improvements.
Data Management & Analytics: Own the feedback loop. You will manage field performance data, ensuring it is clean, categorized, and funneled into the right engineering sprints for rapid iteration.
Cross-Functional Collaboration: Work closely with Service, Engineering, and Manufacturing to close the loop on Root Cause Analysis (RCA) and Corrective Actions (CAPA)