Failure Analysis Engineer

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 ground 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, physical AI and strengthen failure analysis relationships 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 end-to-end analysis to arrive at corrective actions.

Required Skills:

Failure Analysis Engineer Responsibilities:

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

2. Work with cross functional teams from all disciplines to determine and/or discuss root cause

3. Utilize FA equipment such as Optical/Digital Microscopes, Oscilloscopes, X-ray, and SEM to successfully complete FA projects

4. Work closely with HW Reliability to root-cause reliability failures

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

6. Debugging thermal related PCB and electrical module failures

7. Develop corrective actions for various failures observed based on Physics of Failure methodology and validate the same

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

9. Work cross-functionally across hardware teams to advance and land new technologies in the data centers

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

11. Validate and verify supplier and vendor FA

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

13. Lab organization and detailed documentation leading to effective FA reports

Minimum Qualifications:

Minimum Qualifications:

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

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

3. 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

4. Experience with the use of eFA equipment including Oscilloscopes, spectrum analyzers, frequency generators, source meters, and multimeters

Preferred Qualifications:

Preferred Qualifications:

1. Fault localization skills for custom Si/ASICs

2. Masters or PhD in Electrical Engineering or Materials Science with direct Data Center HW FA experience

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

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

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

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 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 [email protected].