Product Quality Engineer

Meta Meta · Big Tech · Bellevue, WA +2

Meta's Manufacturing Quality Engineering team is seeking a Product Quality Engineer to own the manufacturing readiness strategy for advanced compute and GPU platforms, ensuring hardware quality and reliability at hyperscale volumes. This role involves driving manufacturing metrics, defining test requirements, leading debugging efforts, and partnering with cross-functional teams and global manufacturing partners.

What you'd actually do

  1. Own and drive key manufacturing metrics (yield, throughput, cycle time, first-pass rate) across NPI and MP phases, establishing targets and reporting cadences to ensure accountability and continuous improvement
  2. Define, develop, and validate comprehensive manufacturing and test requirements specifically tailored for advanced compute and GPU systems from NPI through to Mass Production (MP)
  3. Continuously evaluate and enhance test coverage, methodologies, and infrastructure to improve hardware reliability and performance at scale against defined targets
  4. Lead complex hardware debugging efforts, actively managing the Major Issue List. Drive root cause analysis and Failure Analysis and Corrective Actions (FACA) to resolve systemic hardware issues and meet defined yield targets
  5. Travel internationally to supplier sites (up to 25%) to manage hardware validation, ensure compliance with defined test requirements, and foster technical partnerships

Skills

Required

  • manufacturing engineering
  • program and project management
  • hardware architecture
  • testing and validation of compute and GPU systems
  • process development
  • bring-up and qualification
  • Final Assembly, Test, and Packout processes
  • stakeholder management
  • international contract manufacturer management
  • issue resolution
  • reliability engineering methodologies
  • accelerated life testing
  • failure mode analysis
  • quality management systems (ISO 9001)
  • test automation frameworks
  • manufacturing execution systems (MES)
  • data center hardware manufacturing
  • GPU architectures
  • high-performance computing systems
  • AI/ML infrastructure hardware

Nice to have

  • Advanced degree in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, or a related field

What the JD emphasized

  • 12+ years of experience in manufacturing engineering or a related field
  • Experience in program and program management, leading complex hardware products from NPI through to high-volume Mass Production (MP) launch
  • Experience with data center hardware manufacturing at hyperscale
  • Experience with GPU architectures, high-performance computing systems, or AI/ML infrastructure hardware