Failure Analysis Engineer

Meta • Sunnyvale, CA • 3h ago

Summary:

Be part of a centralized Product Integrity Team. This is an opportunity to influence the future of Meta's infrastructure as we build FA framework from the grounds up that is needed to scale our current services and support long term goal of meeting Artificial General Intelligence (AGI).Candidate gets to work on state of the projects including custom ASICs, Robotics and able to spruce FA relationship with worldwide supply and manufacturing base. Candidate will be applying knowledge of system hardware, electrical, and materials analysis to perform failure analysis across different issues and provide a turnkey solution to arrive on corrective actions.

Required Skills:

Failure Analysis Engineer Responsibilities:

Responsible for all aspects of identifying and characterizing failures on Data Center HW that leads to successful identification of RootCause of the failure

Experience using FA equipment such as Optical/Digital Microscopes, Oscilloscopes, X-ray, SEM needed to successfully complete FA projects

Work closely with HW Reliability to Root Cause reliability failures

Recreate and identify failures observed in engineering, production, and field as needed for efficient fault isolation

Debugging thermal related PCB and electrical module failures

Develop Corrective actions for various failures observed based on Physics Of Failure methodology and validate the same

Taking additional steps to ensure prevention of similar issues from repeating on new NPI programs

Quantify FA in terms of improvements in yield, reliability, serviceability, manufacturability, testability, capacity, and cost when needed

Validate and verify supplier and vendor FA

Work with cross functional teams from all disciplines to determine and or discuss Root Cause

SOP creation for vendors and suppliers to repeat similar FA analysis if and when needed

Lab organization and detailed documentation leading to effective FA reports

Minimum Qualifications:

Hands-on experience with SEM, DB-FIB, mechanical polishing, dicing, EDS, mechanical probing, EBIC/EBAC, OBIRCH, LADA, TIVA, etc

Systematic FA approach application and experience to methodically break down a system or process into subparts to isolate failures and troubleshoot to a component level

Bachelors in Electrical or Mechanical engineering or Materials Science with 6+ years of failure analysis experience

Proven proficiency with the use of eFA equipment including Oscilloscopes, spectrum analyzers, frequency generators, source meters, and multimeters

Preferred Qualifications:

Fault localization skills for PCIE gen 5/6 and DDR gen 5/6

Masters or PhD in Electrical Engineer or Materials Science with direct Data Center HW FA experience

Fault localization skills for custom Si/ASICs

Experience analyzing datacenter failures (rack level hardware and/or datacenter infrastructure hardware)

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Demonstrated ongoing AI skill development (e.g., prompt/@context engineering, agent orchestration) and staying current with emerging AI technologies

Public Compensation:

$144,000/year to $204,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

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 stereo@types, 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 accommodations-ext@meta.com.

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