Software Test Engineer, ADAS
Test engineer validating L2+ ADAS features on electric commercial vehicles, running bench-level and HIL tests for domain controllers and sensor systems.
- Compensation
- $130K–$160K / yr
- Location
- Garden Grove, CA
- Work setup
- Not specified
- Seniority
- Middle
- Employment
- Contract
- Experience
- 3+ years
- Category
- Qa
- Posted
Skills
Must have
- 2-3+ years of relevant engineering experience (mid-level).
- Experience with end to end validation of ADAS Systems.
- Hands-on experience with Bench-level Testing and Hardware-in-the-Loop (HIL).
- Experience working with and testing L2+ features like Automatic Emergency Braking (AEB), Forward Collision Warning (FCW) and Lane Centering Control (LCC).
- Strong network knowledge surrounding CAN, CANFD and Automotive Ethernet protocols.
- General experience with Environment Simulation Software (specifically looking for familiarity with IPG Carmaker or dSPACE ASM).
- Proven experience in automating test cases using Python, AutomationDesk or ECUTest.
- Proficiency with requirements management tools like Polarion or Jama.
Nice to have
- Experience in Camera, Radars and Ultrasonic Sensor Simulation.
- Familiarity with Perception, Sensor Fusion and Controls Methodologies
- Familiarity with Road, Traffic and Test Scenario generation for ADAS Domain
- Knowledge of industry ADAS standards, specifically Functional Safety (ISO 26262) and SOTIF (ISO 21448).
- Proficiency with basic electrical wiring, electronics fundamentals and the ability to debug hardware issues using tools like digital multimeters, oscilloscopes
- Proficiency in Python Automation.
- Experience using dSPACE SCALEXIO, NI PXI or IPG Xpack Real-time Test Systems
- Experience with middleware like ROS2 or DDS
- Experience with Matlab/Simulink
- Knowledge about CI/CD pipelines is a plus
Full description
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.
Role Overview
We are scaling up our ADAS team to successfully integrate L2+ features by EOD. Currently, the Software Test team is looking for a dedicated engineer with specialized ADAS skillsets. As the Software Test Engineer, ADAS, you will be responsible for validating the entire ADAS system from a broad, black-box perspective. Your primary focus will be rigorous bench-level testing to support the Cockpit Domain Controller (CDC) ECU, as well as the Advanced Driver Control Unit (ADCU / ADCU Pro).
Key Responsibilities
- Lead bench-level testing for the Cockpit Domain Controller (CDC), ADCU, and ADCU Pro.
- Validate the complete, integrated ADAS system to support the rollout of L2+ features.
- Approach testing methodology as a "black box," controlling for all variables and verifying concretely rather than making assumptions.
- Maintain rigorous and proper documentation for all system tests and validation results.
Required Skills & Experience
- 2-3+ years of relevant engineering experience (mid-level).
- Experience with end to end validation of ADAS Systems.
- Hands-on experience with Bench-level Testing and Hardware-in-the-Loop (HIL).
- Experience working with and testing L2+ features like Automatic Emergency Braking (AEB), Forward Collision Warning (FCW) and Lane Centering Control (LCC).
- Strong network knowledge surrounding CAN, CANFD and Automotive Ethernet protocols.
- General experience with Environment Simulation Software (specifically looking for familiarity with IPG Carmaker or dSPACE ASM).
- Proven experience in automating test cases using Python, AutomationDesk or ECUTest.
- Proficiency with requirements management tools like Polarion or Jama.
Preferred Qualifications
- Experience in Camera, Radars and Ultrasonic Sensor Simulation.
- Familiarity with Perception, Sensor Fusion and Controls Methodologies
- Familiarity with Road, Traffic and Test Scenario generation for ADAS Domain
- Knowledge of industry ADAS standards, specifically Functional Safety (ISO 26262) and SOTIF (ISO 21448).