Software Test Engineer

Harbinger Motors Inc.•Garden Grove, CA

About The Position

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. As a Software Test Engineer focused on Telematics, you will be responsible for the end-to-end validation of Harbinger’s connectivity suite. This includes the Telematics Control Unit (TCU), various vehicle ECUs, and the API interfaces that facilitate data flow between the vehicle and the cloud. You will ensure that vehicle data, remote commands, and over-the-air (OTA) updates are reliable, secure, and performant.

Requirements

Education: Bachelor’s degree in Computer Engineering, Electrical Engineering, or a related field.
Embedded Testing: 3+ years of experience in automotive software testing, specifically with TCUs or ECUs.
Programming: High proficiency in Python for test automation and scripting.
Protocol Knowledge: Strong understanding of automotive networks (CAN/CAN-FD, Automotive Ethernet) and internet protocols (MQTT, HTTPS, JSON, REST APIs).
Cloud Awareness: Experience testing cloud-based interactions or IoT devices that communicate with remote servers.
Tools: Familiarity with requirements management (Polarion, JIRA) and version control (Git).

Nice To Haves

Experience with OTA (Over-the-Air) update validation.
Knowledge of cybersecurity standards for connected vehicles.
Experience with Linux/Android Automotive operating systems.

Responsibilities

System Validation: Develop and execute comprehensive test plans for Telematics and Infotainment systems, ensuring seamless integration between hardware and cloud services.
TCU/ECU Testing: Validate the functionality of Telematics Control Units, including cellular connectivity (4G/5G), GPS accuracy, and vehicle-to-cloud data logging.
API & Cloud Testing: Test cloud-based interactions using APIs to verify that vehicle data is correctly transmitted and stored
Automation Development: Design and maintain automated test frameworks using Python and Pytest to improve testing efficiency for connectivity features.
Communication Protocols: Monitor and analyze vehicle bus traffic using tools like Vector CANoe or Intrepid Vehicle Spy (CAN, LIN, and Automotive Ethernet).
HIL Integration: Work with Hardware-in-the-Loop (HIL) environments (dSPACE/Speedgoat) to simulate real-world driving conditions and connectivity edge cases.
Defect Management: Identify, document, and root-cause software defects, collaborating closely with firmware and cloud developers for resolution.