Harbinger is a commercial electric vehicle (EV) company on a mission to transform an industry starving for innovation. Harbinger’s team of EV, battery, and drivetrain experts have pooled their deep experience to support the growing demand for medium-duty EVs. Backed by ArcTern Ventures.
About the role
● Failure Analysis & Troubleshooting: Act as the primary technical expert for diagnosing complex, systemic issues across mechanical, electrical, and software
What they're looking for
- ● 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: Demonstrated disciplined and structured problem-solving skills,
- with the ability to use field data, testing and engineering judgment to identify root
More about this role
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.
Job Overview
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.
● 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...
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