Job Description

About the Job You?re Considering

As an ECU White Box & Stress Test Engineer, you will play a critical role in validating advanced automotive Electronic Control Units (ECUs) such as High-Performance Computers (HPC) and Zonal Controllers. This position involves deep hardware-level testing, embedded debugging, and stress analysis to ensure reliability and compliance with automotive standards. You will work closely with cross-functional teams to design, implement, and troubleshoot Hardware-in-the-Loop (HIL) systems, wiring harnesses, and load boxes, while leveraging your expertise in electronic circuits, automotive communication protocols, and wireless technologies.

Your Role

• Perform white box testing on automotive ECUs, including HPC and Zonal Computers.
• Debug embedded code and conduct register-level diagnostics for SOCs/MCUs.
• Design and troubleshoot HIL systems using platforms like dSPACE and ETAS.
• Develop and validate wiring harnesses and load boxes for HIL setups.
• Utilize tools such as oscilloscopes, signal generators, spectrum analyzers, and logic analyzers for hardware testing.
• Execute stress tests and analyze data to establish pass/fail criteria.
• Work with automotive network protocols (CAN, LIN, Ethernet) and diagnostic tools (CANoe, VT Studio).
• Validate wireless communication technologies (NFC, UWB, Wi-Fi) used in automotive systems.

Your Skills and Experience

• Bachelor?s degree in Electronics and Communication, Electrical Engineering, or equivalent from an ABET-accredited university.
• Minimum 5 years of experience in automotive EE hardware white box testing.
• Strong knowledge of electronic circuits, components, and systems.
• Ability to read and interpret circuit board schematics and semiconductor datasheets.
• Proficiency in embedded code debugging and register-level diagnostics.
• Hands-on experience with HIL systems (dSPACE, ETAS) and related electrical design.
• Expertise in automotive communication protocols and diagnostic tools.
• Familiarity with wireless technologies used in automotive applications.
• Experience in statistical analysis for stress testing and reliability validation.