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Harbinger • Garden Grove, California, United States
Salary: $110,000 - $160,000 / year
Role & seniority: Field Quality Engineer (mid-level to senior track) at Harbinger Motors
Reliability methods: Weibull, FMEA, FTA, Monte Carlo
Data tools: SQL, Python, BI platforms
Diagnostics: Oscilloscopes, Multimeters, CANalyzer/CANoe; CAN bus and OTA knowledge
EV/automotive domain experience; field data feedback loops
Failure analysis & troubleshooting across mechanical, electrical, and software domains
Predictive reliability and forecasting potential failure modes
Product reliability engineering and translating field data into design improvements; manage data and drive RCA/CAPA with cross-functional teams
Proven ability to troubleshoot chassis, drivetrain, HV systems, wiring, and software integration
Strong analytical rigor and experience with reliability methodologies
Field experience and comfort working outside a standard lab
Effective communication: clear reports for leadership; actionable tasks for engineering
Degree in Mechanical, Electrical, or Reliability Engineering; 3–10 years in field/reliability/service engineering in EV/auto
Proficiency with SQL/Python and diagnostic tools; willingness to travel to customer sites
Prior work in EV fleets, design-for-reliability insights, or reliability growth programs
Experience with OTA updates and CAN-based architectures
About Harbinger Harbinger is an American commercial electric vehicle (EV) company on a mission to transform an industry starving for innovation. Harbinger’s best-in-class team of EV, battery, and drivetrain experts have pooled their deep experience to bring a first-of-its-kind EV platform to support the growing demand for medium-duty EVs and Hybrids. Harbinger: Familiar Form, Revolutionary Foundation. The Role
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. Key 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) What You’ll Bring
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. Required Qualifications 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.