Product Quality Engineer, MTIA

Meta•Fremont, CA

17h•$208,000 - $289,000

About The Position

Meta is seeking a Product Quality Engineer to develop and implement robust manufacturing and quality processes for next-generation AI hardware products. The role is the technical owner for specifying manufacturing and test requirements for Advanced Compute, Accelerator, and GPU platforms. The engineer oversees end-to-end manufacturing readiness for New Product Introduction (NPI), guiding projects from prototype through high-volume Mass Production (MP) launch. The role works closely with external manufacturing partners and internal cross-functional teams, including Design Engineering, to define line-readiness standards, facilitate NPI builds, and support scalable execution. It is also responsible for manufacturing metrics, failure analysis, and corrective actions that maintain efficiency and quality.

Requirements

Bachelor of Science in Electrical Engineering or equivalent.
12 or more years of experience in manufacturing and testing for Compute, Storage, or Network Hardware products.
Technical understanding of hardware architecture, with 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, such as root cause analysis and 8D, and communicating technical findings to cross-functional stakeholders.

Nice To Haves

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

Responsibilities

Lead 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.
Lead cross-functional troubleshooting across rack- and system-level hardware and maintain ownership of the Major Issue List.
Execute Failure Analysis and Corrective Actions (FACA) to address underlying technical problems and achieve quality yield goals.
Engage early with Meta Engineering teams to implement robust DFx requirements and ensure products meet cycle-time, cost, quality, and yield targets.
Continuously evaluate and advance 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.