Product Quality Engineer, MTIA

Meta; Austin (TX); On-site; USD 173,000 - 245,000; Full time

Job summary

Meta in Austin, TX is seeking a Product Quality Engineer to own manufacturing readiness for next-gen AI hardware platforms, including Advanced Compute, Accelerator and GPU systems. You will define standards, guide NPI builds, and partner with external manufacturers and internal Design Engineering to ensure line readiness and scalable execution.

The role emphasizes failure analysis, corrective actions, and continuous improvement to meet quality and yield targets across the product lifecycle, with

Qualifications

• BS in Electrical Engineering or equivalent.
• 7+ years of manufacturing and test experience for Compute, Storage or Network Hardware products.
• Deep technical understanding of hardware architecture and expertise in defining requirements, testing and validating high-performance compute/GPU systems.
• Experience collaborating with ODMs to deliver 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.
• Excellent problem solving and communication skills.

Responsibilities

• Lead the development of a comprehensive product quality strategy and process for next-generation AI hardware systems.
• Design test methods, establish standards, and drive continuous improvement with Meta manufacturing partners and key suppliers.
• Own the Major Issue List and conduct Failure Analysis and Corrective Actions to achieve quality yield goals.
• Engage early with Meta Engineering to implement robust DFx requirements.
• Advance test coverage, methodologies, and infrastructure to maximize reliability and scalability.
• Perform First Article and Source Inspections reviews on hardware components and assemblies.
• Create BOMs and engineering change notifications through PLM tools.

Skills

Hardware architecture

Quality methodologies

Manufacturing test solutions

ODM collaboration

NPI experience

Problem solving

Communication skills

Education

BS in Electrical Engineering or equivalent

Tools

PLM tools

Job description

Summary:

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.

Required Skills:

Product Quality Engineer, MTIA Responsibilities:

1. Lead the development of a comprehensive product quality strategy and process for next-generation AI hardware systems, ensuring timely delivery and defined quality standards
2. 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
3. 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
4. Early engagement with Meta Engineering teams to implement robust DFx requirements and ensure products meet cycle-time, cost, quality and yield targets
5. Drive the continuous evaluation and advancement of test coverage, methodologies, and infrastructure to maximize hardware reliability, performance, and scalability across the product lifecycle
6. Conduct First Article and Source Inspections reviews on Meta hardware components and assemblies
7. Create BOMs, engineering change notifications, and manufacturing process changes through product lifecycle management tools

Minimum Qualifications:

Minimum Qualifications:

1. BS in Electrical Engineering or equivalent
2. 7+ years of experience in manufacturing and test for Compute, Storage or Network Hardware products
3. Deep technical understanding of hardware architecture, with proven expertise in defining requirements, testing, and validating high-performance compute and GPU systems
4. Experience collaborating with Original Design Manufacturers (ODMs) to deliver high-quality data center server accelerator products
5. Familiarity with manufacturing test solutions for Data Center Infrastructure hardware products
6. Experience with new product introduction and manufacturing operations
7. Knowledge of quality methodologies and tools
8. Excellent problem solving and communication skills

Preferred Qualifications:

Preferred Qualifications:

1. Scripting skills in Bash, Perl, or Python
2. Experience working on AI Hardware

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 Affniative 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].