AI Hardware Quality Engineer - NPI to Mass Production

Meta; Austin (TX); Hybrid; USD 130,000 - 170,000; Full time

Job summary

Meta is seeking a Product Quality Engineer to own manufacturing readiness for next-gen AI hardware platforms, from prototype to high-volume Mass Production. You will specify testing and manufacturing requirements for Advanced Compute, Accelerator and GPU systems, and work with external partners and cross-functional teams.

You will lead quality strategy, drive DFx, perform failure analyses, and implement corrective actions to meet cycle-time, cost, and yield targets while maintaining top-tier

Qualifications

• Lead the development of a product quality strategy for AI hardware systems.
• Design test methods and establish standards with manufacturing partners.
• Own failure analysis and corrective actions to improve yield.

Responsibilities

• Oversee cross-functional troubleshooting across rack and system-level hardware.
• Engage early with Meta Engineering to implement DFx requirements.
• Ensure cycle-time, cost, quality and yield targets are met.

Skills

Quality engineering

DFx requirements

Failure analysis

Mass production

NPI

Cross-functional collaboration

Tools

FMEA

Statistical analysis

Job description

Meta is seeking a Product Quality Engineer to own manufacturing readiness for next-gen AI hardware platforms, from prototype to high-volume Mass Production. You will specify testing and manufacturing requirements for Advanced Compute, Accelerator and GPU systems, and work with external partners and cross-functional teams.

You will lead quality strategy, drive DFx, perform failure analyses, and implement corrective actions to meet cycle-time, cost, and yield targets while maintaining top-tier