Meta
Sustaining Reliability and Quality Engineer
$208K–$289K
Sunnyvale, CA +2 · Full-time · Posted Sep 23, 2026
- Location
- Sunnyvale, CA
Redmond, WA
Seattle, WA - Experience
- 10+ years; also lists 12+ years including field/sustaining reliability and post-launch product improvement for VR, AR, or wearable device product lines.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, Mechanical, Materials, or Electrical Engineering, a relevant technical field, or equivalent practical experience.
About the job
Sets reliability and quality strategy for Meta Reality Labs consumer hardware after launch, driving field-failure resolution and product improvements through end of life.
What you'll do
- Own portfolio reliability and quality metrics, analytics, and field-reaction frameworks.
- Lead root-cause analysis and corrective action for field failures, quality escapes, and recurring product issues.
- Apply field learnings to design, supplier processes, and next-generation products; mentor engineers.
What they ask for
- Bachelor's degree in a relevant technical field or equivalent practical experience.
- 10+ years of hardware reliability engineering and/or product quality experience in consumer electronics, wearable devices, or similar electro-mechanical products.
- Experience with root-cause analysis, design of experiments (DOE), and corrective action on complex hardware systems.
- Knowledge of mechanical design, material science, consumer-electronics failure mechanisms, and industry test standards including ASTM, MIL, JEDEC, and IEC.
Nice to have
- MS or higher in Mechanical Engineering, Materials Science, Electrical Engineering, or equivalent discipline.
- Familiarity with Weibull analysis, reliability growth modeling, quality tools (8D, PFMEA, SPC, DOE), or AI tools for reliability/quality workflows.
Pay
USD $208,000/year to $289,000/year base salary
Tools
ASTM, MIL, JEDEC, IEC, optical microscopy, X-Ray, CT scan, SEM
AI focus
Use AI tools to redesign reliability/quality data analysis workflows, accelerate failure-pattern identification, or improve reporting efficiency.
Model-written summary · the original posting is authoritative