**Summary:**

Meta's Manufacturing Quality Engineering team is building the infrastructure that powers AI at global scale. As a Product Quality Engineer on the Hardware Engineering team, you will play a critical role in bringing next-generation AI/ML hardware from concept to mass production directly enabling the compute capacity that drives Meta's products. This role sits at the intersection of engineering innovation and operations, where you will own the manufacturing readiness strategy for advanced compute and GPU platforms, partner with design engineers and global manufacturing partners, and ensure Meta's hardware fleet meets the highest standards of quality and reliability at hyperscale volumes.

**Required Skills:**

Product Quality Engineer Responsibilities:

1. Own and drive key manufacturing metrics (yield, throughput, cycle time, first-pass rate) across NPI and MP phases, establishing targets and reporting cadences to ensure accountability and continuous improvement

2. Define, develop, and validate comprehensive manufacturing and test requirements specifically tailored for advanced compute and GPU systems from NPI through to Mass Production (MP)

3. Continuously evaluate and enhance test coverage, methodologies, and infrastructure to improve hardware reliability and performance at scale against defined targets

4. Lead complex hardware debugging efforts, actively managing the Major Issue List. Drive root cause analysis and Failure Analysis and Corrective Actions (FACA) to resolve systemic hardware issues and meet defined yield targets

5. Travel internationally to supplier sites (up to 25%) to manage hardware validation, ensure compliance with defined test requirements, and foster technical partnerships

6. Partner with cross-functional engineering teams to drive power optimizations and performance tuning for compute and GPU systems during the manufacturing validation phase

7. Actively manage the technical transition of products from prototype builds to high-volume manufacturing, facilitating critical technical discussions to resolve open design and test issues

**Minimum Qualifications:**

Minimum Qualifications:

8. 12+ years of experience in manufacturing engineering or a related field

9. Experience in program and project management, leading complex hardware products from NPI through to high-volume Mass Production (MP) launch

10. Working knowledge of hardware architecture with hands-on experience in the testing and validation of compute and GPU systems

11. Background in process development, bring-up, and qualification, encompassing Final Assembly, Test, and Packout processes

12. Experience partnering with stakeholder teams to drive alignment on technical decisions, through proposals, design reviews, or presentations

**Preferred Qualifications:**

Preferred Qualifications:

13. Experience managing relationships with working effectively with international contract manufacturers

14. Experience of proactively working on issues may not be clearly defined and require strategy and direction

15. Experience managing relationships with working effectively with international contract manufacturers Advanced degree in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, or a related field

16. Background in reliability engineering methodologies including accelerated life testing and failure mode analysis

17. Experience working within quality management systems such as ISO 9001 or in a hardware manufacturing environment

18. Experience with test automation frameworks and manufacturing execution systems (MES)

19. Experience with data center hardware manufacturing at hyperscale

20. Experience with GPU architectures, high-performance computing systems, or AI/ML infrastructure hardware

**Public Compensation:**

$208,000/year to $289,000/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 accommodations-ext@meta.com.