Product Quality Engineer, MTIA

Meta; Seattle (WA); On-site; USD 208,000 - 289,000; Full time

Job summary

Meta is seeking a Product Quality Engineer to own manufacturing and test requirements for AI hardware platforms, from prototype to mass production. You will partner with design engineering and external manufacturers to define standards, ensure line readiness, and guide NPI builds toward scalable, reliable releases.

You will lead quality strategy, drive FACA, and implement DFx and test coverage improvements across rack and system-level hardware, with a focus on cost, cycle-time and yield.

Qualifications

• BS in Electrical Engineering or equivalent.
• 12+ years in manufacturing and test for Compute, Storage or Network Hardware products.
• Experience with ODMs and data center servers.

Responsibilities

• Lead the development of a comprehensive product quality strategy and process for next-generation AI hardware systems, ensuring timely delivery and defined quality standards.
• Ensure product and process quality targets are met by designing test methods, establishing standards and driving continuous improvement projects with Meta manufacturing partners and key commodity suppliers.
• Spearhead cross-functional troubleshooting across rack and system-level hardware, maintaining ownership of the Major Issue List. Execute rigorous Failure Analysis and Corrective Actions (FACA) to solve underlying technical problems and achieve quality yield goals.
• Early engagement with Meta Engineering teams to implement robust DFx requirements and ensure products meet cycle-time, cost, quality and yield targets.
• Drive the continuous evaluation and advancement of test coverage, methodologies, and infrastructure to maximize hardware reliability, performance, and scalability across the product lifecycle.
• Conduct First Article and Source Inspections reviews on Meta hardware components and assemblies.
• Create BOMs, engineering change notifications, and manufacturing process changes through product lifecycle management tools.

Skills

Quality methodologies & tools

Root cause analysis (8D)

Cross-functional communication

Education

BS in Electrical Engineering or equivalent

Tools

Bash

Python

Perl

Job description

Meta is seeking a Product Quality Engineer responsible for developing and implementing robust manufacturing and quality processes for the next generation of disruptive AI hardware products. As the technical owner, you will take primary responsibility for specifying manufacturing and test requirements for Advanced Compute, Accelerator and GPU platforms. You will oversee end-to-end manufacturing readiness for New Product Introduction (NPI), guiding projects from prototype phase through to high-volume Mass Production (MP) launch.Working closely with external manufacturing partners and internal cross-functional groups like Design Engineering, you will define standards to ensure line readiness, facilitate smooth NPI builds, and enable scalable execution. Furthermore, you will hold responsibility for meeting core manufacturing metrics, conducting failure analysis, and executing corrective actions to maintain top-tier efficiency and quality.

Product Quality Engineer, MTIA Responsibilities:

• Lead the development of a comprehensive product quality strategy and process for next-generation AI hardware systems, ensuring timely delivery and defined quality standards
• Ensure product and process quality targets are met by designing test methods, establishing standards and driving continuous improvement projects with Meta manufacturing partners and key commodity suppliers
• Spearhead cross-functional troubleshooting across rack and system-level hardware, maintaining ownership of the Major Issue List. Execute rigorous Failure Analysis and Corrective Actions (FACA) to solve underlying technical problems and achieve quality yield goals
• Early engagement with Meta Engineering teams to implement robust DFx requirements and ensure products meet cycle-time, cost, quality and yield targets
• Drive the continuous evaluation and advancement of test coverage, methodologies, and infrastructure to maximize hardware reliability, performance, and scalability across the product lifecycle
• Conduct First Article and Source Inspections reviews on Meta hardware components and assemblies
• Create BOMs, engineering change notifications, and manufacturing process changes through product lifecycle management tools

Minimum Qualifications:

• BS in Electrical Engineering or equivalent
• 12+ years of experience in manufacturing and test for Compute, Storage or Network Hardware products
• Technical understanding of hardware architecture, with proven expertise in defining requirements, testing, and validating high-performance compute and GPU systems
• Experience collaborating with Original Design Manufacturers (ODMs) to deliver high-quality data center server accelerator products
• Familiarity with manufacturing test solutions for Data Center Infrastructure hardware products
• Experience with new product introduction and manufacturing operations
• Knowledge of quality methodologies and tools
• Experience applying structured problem-solving methodologies (e.g., root cause analysis, 8D) and communicating technical findings to cross-functional stakeholders

Preferred Qualifications:

• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Scripting skills in Bash, Perl, or Python
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience working on AI Hardware

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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].

$208,000/year to $289,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.