System Failure Analysis Engineer
Meta· Engineering
Sunnyvale, CA$118k - $170kFull-timePosted 3w ago
About the role
Role focusing on Early Field Failure Analysis (EFFA) and Ongoing Field Failure Analysis (OFFA) for consumer hardware products, leveraging software development and AI tools to automate failure analysis, diagnose root causes, and drive corrective actions in collaboration with hardware design, manufacturing, and reliability teams.
Responsibilities
- Perform Early Field Failure Analysis (EFFA) and Ongoing Field Failure Analysis (OFFA) on returned or customer-reported hardware units across Meta's consumer device portfolio, including VR headsets, AR glasses, and wearable electronics
- Build and deploy AI-powered tools and machine learning models to automate failure classification, root cause prediction, and anomaly detection in field failure data
- Develop software scripts, data pipelines, and analysis tools using Python or similar languages to streamline failure analysis workflows and improve diagnostic efficiency
- Apply fault isolation techniques such as electrical characterization, boundary scan, and functional diagnostics to identify failure modes at the board, component, and system level
- Conduct physical failure analysis using tools such as optical microscopy, scanning electron microscopy, cross-sectioning, and X-ray inspection to determine root cause
- Design and implement automated test and diagnostic systems that leverage AI and machine learning to enhance failure detection and triage capabilities
- Document failure analysis findings in structured reports, including failure mode classification, root cause determination, and recommended corrective actions
- Collaborate with hardware design and reliability engineering teams to translate failure analysis findings into design improvements and process changes
- Track and analyze failure trends using quality data systems and custom-built analytical tools to identify systemic issues and prioritize investigation efforts
- Communicate failure analysis results and quality insights to engineering leaders and stakeholders across varying levels of technical background
Qualifications
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
- 2+ years of experience in hardware failure analysis, hardware quality engineering, or reliability engineering for consumer electronics or similar electromechanical systems
- 2+ years of hands-on experience with failure analysis techniques including electrical fault isolation, optical and electron microscopy, X-ray inspection, or cross-sectioning
- 2+ years of experience with programming languages such as Python, C++, or similar for data analysis, automation, or tool development
- Experience building data analysis pipelines, automation scripts, or diagnostic tools to support engineering workflows
- Experience interpreting schematic diagrams, PCB layouts, and component datasheets to support system-level fault isolation
- Experience documenting and communicating technical failure analysis findings to cross-functional engineering teams and stakeholders
Skills
Required:PythonFailure analysis techniques
Nice to have:C++
Benefits
- benefits information present in posting (unspecified in this excerpt)
Last updated Oct 23, 2026. Interested? Apply on the company site.
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