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 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience developing AI or machine learning models for failure prediction, classification, or anomaly detection Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Familiarity with reliability testing methodologies such as HALT, HASS, or accelerated life testing in the context of consumer hardware qualification Experience with Early Field Failure Analysis (EFFA) or Ongoing Field Failure Analysis (OFFA) programs for consumer electronics Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience building internal tools, dashboards, or automated systems to improve engineering team productivity Experience with failure analysis of wearable devices, AR/VR hardware, or compact consumer electronics with complex system-on-chip or flexible circuit assemblies Experience using statistical quality tools (e.g., Pareto analysis, Weibull analysis, control charts) to identify and prioritize systemic hardware failure trendsMeta builds technologies that help people connect, find communities, and grow businesses. Meta is seeking 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 consumer hardware products including virtual reality headsets, augmented reality glasses, and wearable devices.