Reliability Lab Engineer

Job Summary:

onsemi is seeking a Reliability Lab Engineer to support reliability testing, device qualification, and lab operations for cutting-edge Wide Bandgap semiconductor technologies, specifically Gallium Nitride (GaN) and Silicon Carbide (SiC). In this hands-on role, you will design test circuits, boards, and platforms, operate stress test equipment, and analyze stress data to accelerate the adoption of high-efficiency power semiconductors.

Key Responsibilities

Design and develop custom test circuits, load boards, and hardware test platforms specifically tailored for the reliability testing of GaN and SiC devices.

Operate, maintain, and troubleshoot reliability lab stress tools (such as HTOL, ELFR, HAST, and high-voltage/high-temperature testing equipment).

Execute rigorous stress test protocols to evaluate device reliability, ruggedness, and long-term electrical stability.

Collect, clean, and analyze test data using statistical analysis tools (Python, MATLAB, JMP) to identify failure mechanisms and degradation trends.

Collaborate cross-functionally with Product Development Engineering (PDE), design, process, and quality teams to support root-cause analysis and corrective actions.

Maintain precise documentation of test setups, run logs, calibration records, and equipment maintenance while ensuring compliance with JEDEC, AEC, and AQG industry standards.

Minimum Requirements

Education: Bachelor’s or Master’s degree in Electrical Engineering, Materials Science, Physics, or a related field.

Experience: 1–3 years of experience in semiconductor reliability testing, test hardware design, failure analysis, or device characterization.

Technical Skills:

•   - Proficiency in PCB design and schematic capture tools (e.g., Altium, Cadence, OrCAD) for test board development.


•   - Solid understanding of semiconductor physics, power electronics, and reliability principles (especially WBG devices like GaN and SiC).


•   - Hands-on familiarity with lab equipment, benchtop instrumentation, and reliability stress tools.


•   - Proficiency in data analysis and programming tools (Python, MATLAB, JMP, or Excel).


•   - Familiarity with industry standards (JEDEC, AEC-Q101, etc.).

Soft Skills: Strong problem-solving mindset, ability to thrive in a dynamic lab environment, and excellent communication and teamwork abilities.