System Failure Analysis Engineer

Meta Careers; Sunnyvale (CA); On-site; USD 118,000 - 170,000; Full time

Benefits offered by this job

Bonus potential

Equity compensation

Benefits

Job summary

Meta is seeking a System Failure Analysis Engineer to join the Hardware Quality and Reliability Engineering team. You will investigate field failures from devices including VR/AR hardware and wearables, identify root causes, and drive corrective actions to improve product reliability.

You will leverage Python, C++, and AI tooling to build automated analysis solutions, perform fault isolation, and contribute to design improvements.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field.
• 2+ years of hardware failure analysis, quality engineering, or reliability engineering for consumer electronics.
• Experience with programming languages such as Python, C++, for data analysis, automation, or tool development.

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.
• Build and deploy AI-powered tools and machine learning models to automate failure classification and anomaly detection.
• Develop data pipelines and scripts to streamline failure analysis workflows and improve diagnostic efficiency.

Skills

Data analysis

Automation & tooling

PCB schematic interpretation

Communication

Education

Bachelor's degree in CS/CE or related field

Tools

Python

C++

AI/ML tooling

Job description

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. In this role, you will investigate hardware failures from field returns and customer-reported issues, identify root causes, and drive corrective actions that improve product quality and reliability. You will leverage strong software development skills and AI tool-building capabilities to create automated analysis solutions and intelligent diagnostic systems. You will partner closely with hardware design, manufacturing, field support, and reliability engineering teams to ensure Meta's next-generation devices meet the highest standards of performance and durability.System Failure Analysis Engineer 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 electronicsBuild and deploy AI-powered tools and machine learning models to automate failure classification, root cause prediction, and anomaly detection in field failure dataDevelop software scripts, data pipelines, and analysis tools using Python or similar languages to streamline failure analysis workflows and improve diagnostic efficiencyApply fault isolation techniques such as electrical characterization, boundary scan, and functional diagnostics to identify failure modes at the board, component, and system levelConduct physical failure analysis using tools such as optical microscopy, scanning electron microscopy, cross-sectioning, and X-ray inspection to determine root causeDesign and implement automated test and diagnostic systems that leverage AI and machine learning to enhance failure detection and triage capabilitiesDocument failure analysis findings in structured reports, including failure mode classification, root cause determination, and recommended corrective actionsCollaborate with hardware design and reliability engineering teams to translate failure analysis findings into design improvements and process changesTrack and analyze failure trends using quality data systems and custom-built analytical tools to identify systemic issues and prioritize investigation effortsCommunicate failure analysis results and quality insights to engineering leaders and stakeholders across varying levels of technical backgroundMinimum 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 Meta2+ years of experience in hardware failure analysis, hardware quality engineering, or reliability engineering for consumer electronics or similar electromechanical systems2+ years of hands-on experience with failure analysis techniques including electrical fault isolation, optical and electron microscopy, X-ray inspection, or cross-sectioning2+ years of experience with programming languages such as Python, C++, or similar for data analysis, automation, or tool developmentExperience building data analysis pipelines, automation scripts, or diagnostic tools to support engineering workflowsExperience interpreting schematic diagrams, PCB layouts, and component datasheets to support system-level fault isolationExperience documenting and communicating technical failure analysis findings to cross-functional engineering teams and stakeholdersPreferred Qualifications: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 detectionExperience 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 qualificationExperience with Early Field Failure Analysis (EFFA) or Ongoing Field Failure Analysis (OFFA) programs for consumer electronicsDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience building internal tools, dashboards, or automated systems to improve engineering team productivityExperience with failure analysis of wearable devices, AR/VR hardware, or compact consumer electronics with complex system-on-chip or flexible circuit assembliesExperience using statistical quality tools (e.g., Pareto analysis, Weibull analysis, control charts) to identify and prioritize systemic hardware failure trendsAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].$118,000/year to $170,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.