Product Quality Engineer

Facebook; Seattle (WA); On-site; USD 144,000 - 204,000; Full time

Job summary

Meta is seeking a Product Quality Engineer for its Hardware Engineering team to bring next-generation AI/ML hardware from concept to mass production. You will own manufacturing readiness for compute and GPU platforms, partner with design engineers and global manufacturing partners, and ensure quality and reliability at hyperscale volumes.

Responsibilities include driving yield, throughput, and cycle-time metrics; validating advanced test requirements; improving test coverage; performing

Qualifications

• Experience driving hardware manufacturing metrics and targets.
• Ability to validate and implement test requirements for hardware systems.
• Experience with root-cause analysis and corrective actions in hardware.

Responsibilities

• Drive manufacturing metrics across NPI and MP phases and escalate risks.
• Develop and validate manufacturing and test requirements for compute/GPU systems.
• Evaluate test coverage and improve hardware reliability at scale.
• Lead hardware debugging and FACA activities to meet yield targets.
• Travel internationally to supplier sites (up to 25%).
• Collaborate with cross-functional teams on power optimizations and tuning.
• Support transition from prototypes to high-volume manufacturing.

Skills

Manufacturing metrics

Test requirements

Test coverage

Root cause analysis

International travel

Power optimization

Prototype to MP

Education

Bachelor's degree in engineering

Job description

**Summary:**

Meta's Manufacturing Quality Engineering team is building the infrastructure that powers AI at a 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 execute on the manufacturing readiness plan for advanced compute and GPU platforms, partner with design engineers and global manufacturing partners, and help ensure Meta's hardware fleet meets the highest standards of quality and reliability at hyperscale volumes.

**Required Skills:**

Product Quality Engineer Responsibilities:

• 1. Drive manufacturing metrics (yield, throughput, cycle time, first-pass yield rate) across NPI and MP phases, tracking progress against established targets and escalating risks proactively
• 2. Develop, validate, and implement manufacturing and test requirements for advanced compute and GPU systems from NPI through to mass production (MP)
• 3. Evaluate and enhance test coverage, methodologies, and infrastructure to improve hardware reliability and performance at scale against defined targets
• 4. Drive hardware debugging efforts, contributing to the Major Issue List and executing root cause analysis and Failure Analysis and Corrective Actions (FACA) to resolve hardware issues and meet yield targets
• 5. Travel internationally to supplier sites (up to 25%) to manage hardware validation, ensure compliance with test requirements, and maintain technical partnerships
• 6. Partner with cross-functional engineering teams on power optimizations and performance tuning for compute and GPU systems during manufacturing validation
• 7. Support the technical transition of products from prototype builds to high-volume manufacturing, contributing to technical discussions to resolve open design and test issues

**Minimum Qualifications:**

Minimum Qualifications:

• 8. Bachelor's degree in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, or a relevant technical field, or equivalent practical experience
• 9. 6+ years of experience in manufacturing engineering or a related field
• 10. Experience in program and project management, supporting complex hardware products from NPI through to high-volume mass production (MPP) launch
• 11. Working knowledge of hardware architecture with hands-on experience in the testing and validation of compute and GPU systems
• 12. Background in process development, bring-up, and qualification, encompassing final assembly, test, and pack-out processes
• 13. Experience partnering with stakeholder teams to drive alignment on technical decisions, through proposals, design reviews, or presentations

**Preferred Qualifications:**

Preferred Qualifications:

• 14. Advanced degrees in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, or a related field
• 15. Experience identifying and scoping ambiguous technical problems, defining actionable next steps, and driving resolution
• 16. Experience working with international contract manufacturers
• 17. Experience with data center hardware manufacturing at hyperscale
• 18. Scripting of test cases for compute / storage / AI/ML servers and racks
• 19. Experience with test automation frameworks and manufacturing execution systems (MES)
• 20. Experience working within quality management systems such as ISO 9001 or in a hardware manufacturing environment
• 21. Background in reliability engineering methodologies, including accelerated life testing and failure mode analysis
• 22. Experience with GPU architectures, high-performance computing systems, or AI/ML infrastructure hardware
• 23. Experience of proactively working on issues may not be clearly defined

**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 [e-mail].