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.