Reliability Engineer

Meta; Redmond (WA); Hybrid; USD 144,000 - 204,000; Full time

Job summary

Meta seeks a Product Reliability Engineer to drive the quality, durability, and long-term reliability of consumer hardware across the device portfolio, including VR headsets, AR glasses, and wearables.

You will own reliability activities from development to mass production, partnering with mechanical, electrical, and systems teams to identify failure modes and define requirements for durable, field-ready products.

Qualifications

• Bachelor's degree in a relevant technical field or equivalent practical experience.
• 3+ years in hardware reliability for consumer electronics or similar electro-mechanical products.
• Experience designing accelerated life tests and environmental stress tests.

Responsibilities

• Define and execute reliability test plans for consumer hardware products (VR/AR/wearables).
• Conduct FMEA and FTA to identify reliability risks.
• Analyze field return data and reliability metrics to drive corrective actions.
• Lead root cause investigations for reliability escapes across design and manufacturing.

Skills

Cross-functional collaboration

Root cause analysis

Reliability data analysis

Test planning

Communication

Adaptability

Travel willingness

Education

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

Tools

FMEA

FTA

Weibull analysis

Job description

Summary

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.

Required Skills

Reliability Engineer Responsibilities

1. 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

2. Conduct failure mode and effects analysis (FMEA) and fault tree analysis (FTA) to proactively identify and mitigate reliability risks across hardware subsystems

3. Analyze field return data, warranty claims, and reliability metrics to identify top failure drivers and translate findings into actionable engineering corrective actions

4. Lead root cause analysis investigations for reliability escapes, distinguishing between design, material, manufacturing process, and use-condition contributors

5. Define and track reliability KPIs, including MTBF, failure rate, and field return rate, to produce regular reporting to inform product and engineering decisions

6. Collaborate with mechanical, electrical, and systems engineering teams to influence design decisions that improve product durability and serviceability

7. Partner with contract manufacturers and suppliers to establish reliability requirements, audit test capabilities, and validate corrective actions at the component and system level

8. Develop and maintain reliability models and life prediction analyses to support product design decisions and reliability growth planning

9. Contribute to reliability requirements documentation, test specifications, and design verification plans aligned to product development milestones

10. Engage cross-functional stakeholders, including product management, quality, and operations, to communicate the reliability status, risks, and mitigation strategies

11. International travel, up to 20%

Minimum Qualifications

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

2. 3+ years of experience in hardware reliability engineering for consumer electronics, wearable devices, or similar electro-mechanical products

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

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

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

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

Preferred Qualifications

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

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

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

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

Public Compensation

$144,000/year to $204,000/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Assertive Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].