AI-Powered Hardware Failure Engineer

Meta Careers; Sunnyvale, Northern (CA, KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Meta is seeking a System Failure Analysis Engineer in Sunnyvale, CA to join the Hardware Quality and Reliability Engineering team. You will investigate field failures from returns and customer reports, identify root causes, and drive corrective actions to improve product quality and durability.

You will leverage Python and AI tool-building capabilities to create automated analysis solutions and intelligent diagnostic systems, collaborating with design, manufacturing, field support, and

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

Skills

Python

AI/ML tooling

Data analysis

Fault isolation

Tools

Optical microscopy

Scanning electron microscopy

Cross-sectioning

X-ray inspection

Job description

Meta is seeking a System Failure Analysis Engineer in Sunnyvale, CA to join the Hardware Quality and Reliability Engineering team. You will investigate field failures from returns and customer reports, identify root causes, and drive corrective actions to improve product quality and durability.

You will leverage Python and AI tool-building capabilities to create automated analysis solutions and intelligent diagnostic systems, collaborating with design, manufacturing, field support, and