System Failure Analysis Engineer

What you'll do

• Perform field failure analysis and use electrical and physical inspection techniques to determine failure modes and root causes.
• Build software, data pipelines, and AI/ML tools to automate failure classification, prediction, anomaly detection, and diagnostics.
• Report findings, track failure trends, and collaborate with engineering teams on corrective actions and product improvements.

What they ask for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience; degree must be completed before joining.
• 2+ years in hardware failure analysis, hardware quality engineering, or reliability engineering for consumer electronics or similar electromechanical systems.
• 2+ years of hands-on experience with failure analysis techniques, such as electrical fault isolation, microscopy, X-ray inspection, or cross-sectioning.
• 2+ years programming with Python, C++, or similar for analysis, automation, or tool development.

Nice to have

• Experience with EFFA/OFFA programs, consumer wearables or AR/VR hardware, or reliability testing such as HALT/HASS.
• Experience developing AI/ML models, applying responsible AI practices, or using statistical quality tools.

Pay

$118,000/year to $170,000/year (base salary)

Tools

Python, C++, optical microscopy, scanning electron microscopy, X-ray inspection, HALT, HASS, Weibull analysis

AI focus

Build and deploy AI/ML tools for failure classification, root-cause prediction, anomaly detection, and diagnostics; integrate AI responsibly to improve workflows.