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Meta is seeking a Reliability Engineer to own reliability activities for consumer hardware across VR headsets, AR glasses, and wearables. You will design accelerated life tests, perform FMEA/FTA, analyze field data, and drive corrective actions with cross-functional teams through mass production.
You will define reliability KPIs, model life data, and collaborate with suppliers and contract manufacturers to ensure durability and serviceability throughout product lifecycles, with travel up to 20%.
Meta is seeking a 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 independently 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.
Define and execute reliability test plans for consumer hardware products, including VR headsets, AR glasses, and wearable devices, covering accelerated life testing, environmental stress screening, and mechanical durability validation
Conduct failure mode and effects analysis (FMEA) and fault tree analysis (FTA) to proactively identify and mitigate reliability risks across hardware subsystems
Analyze field return data, warranty claims, and reliability metrics to identify top failure drivers and translate findings into actionable engineering corrective actions
Lead root cause analysis investigations for reliability escapes, distinguishing between design, material, manufacturing process, and use-condition contributors
Define and track reliability KPIs, including MTBF, failure rate, and field return rate, to produce regular reporting to inform product and engineering decisions
Collaborate with mechanical, electrical, and systems engineering teams to influence design decisions that improve product durability and serviceability
Partner with contract manufacturers and suppliers to establish reliability requirements, audit test capabilities, and validate corrective actions at the component and system level
Develop and maintain reliability models and life prediction analyses to support product design decisions and reliability growth planning
Develop reliability requirements documentation, test specifications, and design verification plans aligned to product development milestones
Engage cross-functional stakeholders, including product management, quality, and operations, to communicate the reliability status, risks, and influence business decisions
International travel, up to 20%
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
6+ years of experience in hardware reliability engineering for consumer electronics, wearable devices, or similar electro-mechanical products
Experience in 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
Ability to proactively drive decisions involving dependencies across multiple teams or functions
Experience with reliability engineering for VR, AR, or wearable device product lines, including knowledge of display, optics, battery, and sensor subsystem failure modes
Familiarity with reliability growth modeling, Weibull analysis, and statistical reliability prediction methods applied to consumer hardware products
Demonstrated use of AI tools to redesign reliability data analysis workflows, accelerate failure pattern identification, or improve reporting efficiency
Experience working with contract manufacturers and component suppliers to define reliability requirements and validate corrective actions at scale
$173,000/year to $245,000/year + bonus + equity + benefits
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