Field Quality Engineer Vehicle Systems and Integration

Harbinger Motors Inc.Sturgis, MI
Onsite

About The Position

As a Field Quality Engineer - Vehicle Systems and Integration 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

  • Proven experience troubleshooting mechanical systems (chassis, drivetrain), electrical architectures (HV systems, wiring harnesses), and software integration (CAN bus communication, over-the-air updates).
  • Demonstrated disciplined and structured problem-solving skills, with the ability to use field data, testing and engineering judgment to identify root causes and evaluate effectiveness of corrective actions.
  • Comfortable working in the field, under a vehicle, or in a lab setting.
  • 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)
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service