AI-Driven Hardware Failure Analyst

Meta; Sunnyvale (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Meta seeks a System Failure Analysis Engineer to join our Hardware Quality and Reliability Engineering team, focusing on Early Field Failure Analysis (EFFA) and Ongoing Field Failure Analysis (OFFA) for VR headsets, AR glasses, and wearables. You will investigate field failures, identify root causes, and drive corrective actions to improve product quality and durability.

You will also build AI-powered analysis tools, data pipelines, and automated diagnostics, partnering with hardware design,

Qualifications

• Bachelor's degree completed before joining Meta.
• 2+ years in hardware failure analysis or reliability engineering for consumer electronics.
• 2+ years programming in Python/C++ for data analysis or tool development.
• Experience building data pipelines and automation scripts.
• Experience interpreting schematics, PCB layouts, and datasheets.
• Experience applying AI/ML to failure prediction or classification.
• Familiarity with HALT/HASS or accelerated life testing.

Responsibilities

• Perform EFFA and OFFA on returned or customer-reported hardware units across Meta's devices.
• Build and deploy AI-powered tools for failure classification, root-cause prediction, and anomaly detection.
• Develop Python/C++ scripts and data pipelines to streamline failure analysis workflows.
• Apply fault isolation techniques to identify failure modes at board, component, and system levels.
• Conduct physical failure analysis using optical microscopy, X-ray, and cross-sectioning.
• Design automated tests and diagnostic systems leveraging AI/ML for failure detection and triage.
• Document findings in structured reports with root cause and corrective actions.
• Collaborate with hardware design and reliability teams to drive design improvements.
• Analyze quality data trends to identify systemic issues and set investigation priorities.

Skills

AI tools

Machine learning

Data analysis

Automation scripts

Root cause analysis

Python

C++

Hardware failure analysis

Communication

Team collaboration

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

Python

C++

X-ray inspection

Optical microscopy

Boundary scan

Electrical fault isolation

Cross-sectioning

Schematic interpretation

Data pipelines

Job description

Meta seeks a System Failure Analysis Engineer to join our Hardware Quality and Reliability Engineering team, focusing on Early Field Failure Analysis (EFFA) and Ongoing Field Failure Analysis (OFFA) for VR headsets, AR glasses, and wearables. You will investigate field failures, identify root causes, and drive corrective actions to improve product quality and durability.

You will also build AI-powered analysis tools, data pipelines, and automated diagnostics, partnering with hardware design,