Product Quality Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 7, 2026

Salary

$173K-$245K From the posting source

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

87% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Mid From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Product Quality Engineer Bellevue, WA; Austin, TX; Fremont, CA 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. Responsibilities: - 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 - Define, develop, and validate comprehensive manufacturing and test requirements specifically tailored for advanced compute and GPU systems from NPI through to Mass Production (MP) - Continuously evaluate and enhance test coverage, methodologies, and infrastructure to improve hardware reliability and performance at scale against defined targets - 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 - Travel internationally to supplier sites (up to 25%) to manage hardware validation, ensure compliance with defined test requirements, and foster technical partnerships - Partner with cross-functional engineering teams to drive power optimizations

Read the full description at www.metacareers.com. FewerJobs shows a preview and links to the original posting.