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Meta

Reliability Engineer

seattle, WA

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About this opportunity

Meta lists this Reliability Engineer opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Meta is seeking a Product Reliability Engineer to drive the quality, durability, and long-term reliability of consumer hardware products across Meta's device portfolio, including virtual reality headsets, augmented reality glasses, and wearable devices. In this role, you will own reliability engineering activities spanning product development through mass production, partnering with mechanical, electrical, and systems engineering teams to identify failure modes, define reliability requirements, and ensure Meta's hardware products meet the highest standards of durability and field performance.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

3+ years of experience in hardware reliability engineering for consumer electronics, wearable devices, or similar electro-mechanical products

Experience designing and executing accelerated life tests, environmental stress tests, and mechanical durability validation for consumer hardware products

Experience performing failure mode and effects analysis (FMEA), fault tree analysis (FTA), and root cause analysis on hardware systems

Experience analyzing reliability data and field return metrics to identify failure trends and drive engineering corrective actions

Experience collaborating with mechanical, electrical, and manufacturing engineering teams to influence product design for reliability and durability

Experience with reliability engineering for VR, AR, or wearable device product lines, including knowledge of display, optics, battery, and sensor subsystem failure modes

Demonstrated use of AI tools to redesign reliability data analysis workflows, accelerate failure pattern identification, or improve reporting efficiency

Familiarity with reliability growth modeling, Weibull analysis, and statistical reliability prediction methods applied to consumer hardware programs

Experience working with contract manufacturers and component suppliers to define reliability requirements and validate corrective actions at scale

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Worksite address

seattle, WA, 98127, US

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