Reliability & Failure Analysis Engineer

Responsibilities

• Define and execute reliability test plans, including HALT, ALT, and environmental stress testing.
• Conduct comprehensive failure analysis (FA) on failed units from development, production, and field returns, using advanced analytical techniques and equipment.
• Drive root cause analysis (RCA) and collaborate with cross-functional engineering teams (Mechanical, Electrical, Firmware) to implement effective corrective and preventive actions (CAPA).
• Influence product architecture and design by implementing Design for Reliability (DFR) principles during early development phases.
• Manage reliability lab operations, including equipment maintenance, calibration, and safety protocols.
• Partner with internal and external teams to standardize reliability testing methodologies and validation criteria.
• Support product lifecycle management, from early prototype evaluation through mass production and beyond.
• Develop and maintain technical reports, reliability dashboards, and documentation on product performance trends.

Requirements

• Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Materials Science, or a related technical field.
• 7+ years of relevant experience in reliability engineering or failure analysis within the consumer electronics industry.
• Hands-on experience with failure analysis tools and techniques, such as X-ray, cross-sectioning, SEM, or optical microscopy.
• Deep understanding of industry-standard reliability testing methodologies and environmental standards.
• Strong problem-solving, communication, and interpersonal skills, with the ability to articulate complex technical findings to diverse teams.

Preferred Qualifications

• 10+ years of experience in consumer electronics, with a focus on reliability and failure analysis.
• Master’s degree or PhD in Engineering or a related field.
• Proven experience with wearable devices or small form factor, high-density products.
• Experience with statistical analysis software (e.g., JMP, Minitab) and data-driven reliability modeling (e.g., Weibull analysis).
• Demonstrated success in influencing design decisions to improve product robustness and yield.