Medium-duty commercial EV platform with in-house battery and drivetrain tech
Harbinger manufactures medium-duty commercial electric vehicles with proprietary battery and drivetrain systems developed in-house. The tech stack reveals a vertically integrated operation: embedded systems (ARM, NXP, Renesas, NVIDIA Jetson, Rust, C/C++), manufacturing execution (SAP, NetSuite, MES), and 3D design and simulation (CATIA, STAR-CCM+, Polyworks). Active projects span firmware for motor control, battery module prototyping, and high-volume EOL testing — consistent with a company scaling from prototype to production. Engineering and manufacturing dominate hiring (42 of 67 roles), with senior and mid-level engineers concentrated on firmware, electronics, and production systems.
Harbinger is a commercial EV manufacturer founded in 2021 and headquartered in Garden Grove, California. The company designs and manufactures medium-duty electric vehicles for commercial fleets, with a focus on competitive pricing relative to internal-combustion alternatives. All core vehicle technologies — battery modules, electric drive units, and motor control firmware — are developed and manufactured in-house. The product roadmap includes battery manufacturing at scale, advanced power electronics, and rigorous testing protocols for high-volume production. The current workforce of 201–500 spans engineering, manufacturing, operations, and support functions across the United States.
Embedded systems (ARM Cortex-M, NXP, Renesas, NVIDIA Jetson, Rust, C/C++), manufacturing (SAP, NetSuite, MES), design (CATIA, STAR-CCM+, Polyworks), and firmware platforms (Embedded Linux, U-Boot, EDK2, OP-TEE).
Battery module prototyping, in-house battery manufacturing line setup, electric drive unit EOL testing at scale, firmware for motor control systems, and power electronics design for commercial EVs.
Harbinger's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.