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Maintenance Supervisor
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Hardware Analysis Engineer (SMTS)
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Procurement Engineer 1
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Closed listing

Product Quality Engineer

Menlo Park, CA, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Experience: 8+ years of experience in product quality engineering, manufacturing engineering, or hardware reliability engineering within a hardware product development environment
Posting language: English
Posted: Nov 5, 2026

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Original job description

Archived listing. The details below describe a past opening.

Summary:

Meta's Hardware Infrastructure team is building the physical foundation that powers AI at global scale. As a Product Quality Engineer, you will own the end-to-end quality strategy for next-generation infrastructure hardware, spanning compute platforms, storage systems, and data center hardware from early prototype through high-volume mass production. 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. You will partner with design engineering, contract manufacturers, and supply chain teams to define quality standards, drive yield improvements, and ensure Meta's infrastructure hardware fleet meets rigorous reliability and performance requirements at hyperscale volumes.

Required Skills:

Product Quality Engineer Responsibilities:

Define and own the manufacturing quality strategy for infrastructure hardware programs, including compute, GPU, storage, and networking platforms, across NPI and mass production phases
Establish and track key manufacturing quality metrics including yield, first-pass rate, defect density, and field return rates, driving accountability and continuous improvement across internal teams and contract manufacturing partners
Continuously evaluate and enhance test coverage, methodologies, and infrastructure to improve hardware reliability and performance at scale against defined targets
Lead root cause analysis and corrective action programs for systemic hardware failures, managing failure analysis workflows and driving closure of critical issues against defined yield and reliability targets
Partner with cross-functional engineering teams to drive power optimizations and performance tuning for compute and GPU systems during the manufacturing validation phase
Manage the technical transition of products from prototype builds to high-volume manufacturing, facilitating critical technical discussions to resolve open design and test issues
Travel internationally to supplier sites (up to 25%) to manage hardware validation, ensure compliance with defined test requirements, and foster technical partnerships
Drive cross-functional alignment on quality requirements and risk mitigation plans across design engineering, supply chain, and manufacturing operations teams

Minimum Qualifications:

Bachelor's degree in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, or a relevant technical field, or equivalent practical experience
8+ years of experience in product quality engineering, manufacturing engineering, or hardware reliability engineering within a hardware product development environment
Experience leading quality programs for complex hardware systems from NPI through high-volume mass production, including ownership of yield improvement and defect reduction initiatives
Experience supporting hardware architecture with hands-on experience in the testing and validation of compute and GPU systems
Experience partnering with contract manufacturers and component suppliers to define quality requirements, conduct audits, and drive corrective actions
Experience partnering with stakeholder teams to drive alignment on technical decisions, through proposals, design reviews, or presentations
Background in process development, bring-up, and qualification, encompassing Final Assembly, Test, and Packout processes

Preferred Qualifications:

Advanced degree in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, or a related field
Experience scripting of test cases in Python for compute / storage / AI/ML servers and racks
Experience with GPU architectures, high-performance computing systems, or AI/ML infrastructure hardware
Experience with test automation frameworks and manufacturing execution systems (MES)
Background in reliability engineering methodologies including accelerated life testing and failure mode analysis
Experience working within quality management systems such as ISO 9001 or in a hardware manufacturing environment
Experience managing relationships with working effectively with international contract manufacturers
Experience with data center hardware manufacturing at hyperscale
Experience of proactively working on issues may not be clearly defined and require strategy and direction

Public Compensation:

$173,000/year to $245,000/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.

About employer

More about this job

Skills

Supply chain management
Define quality standards
Process improvement
Root cause analysis
Analyse issues
Regulatory compliance
Electrical engineering
Mechanical engineering
Presentation skills
Assembly
Python
ML
Test automation
MES
Quality assurance procedures
ISO 9001

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