AI Hardware Quality Engineer - NPI to Mass Production

Meta

Seattle (WA)

Presencial

USD 173.000 - 245.000

Jornada completa

14 días+

Una candidatura completa en un minuto

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Descripción de la vacante

Meta seeks a Product Quality Engineer to develop and implement robust manufacturing and quality processes for the next generation of disruptive AI hardware. You will own manufacturing readiness from prototype through high-volume Mass Production, collaborating with external partners and internal Design Engineering to define standards for line readiness and scalable execution.

You will oversee failure analysis, corrective actions, and continuous improvement of test coverage and infrastructure

Formación

  • BS in Electrical Engineering or equivalent.
  • 7+ years in manufacturing and test for compute/hardware.
  • Deep hardware understanding and requirement validation.
  • Experience with ODM collaboration for data center accelerators.
  • Familiar with manufacturing test solutions for Data Center hardware.
  • Experience with NPI and manufacturing operations.
  • Knowledge of quality methodologies and tools.
  • Excellent problem solving and communication skills.

Responsabilidades

  • Develop a comprehensive product quality strategy for next-gen AI hardware.
  • Design test methods and standards with Meta manufacturing partners.
  • Lead cross-functional troubleshooting and corrective actions (FACA).
  • Engage early with Meta Engineering to implement robust DFx requirements.
  • Advance test coverage, methodologies, and infrastructure for reliability.
  • Conduct First Article and Source Inspections on hardware components.
  • Create BOMs and manage engineering change notifications.

Conocimientos

Manufacturing experience
Test methodology
Quality systems
DFx requirements
Root cause analysis
Cross-functional collaboration

Educación

Bachelor's degree in Electrical Engineering

Herramientas

PLM tools

Descripción del empleo

Meta seeks a Product Quality Engineer to develop and implement robust manufacturing and quality processes for the next generation of disruptive AI hardware. You will own manufacturing readiness from prototype through high-volume Mass Production, collaborating with external partners and internal Design Engineering to define standards for line readiness and scalable execution.

You will oversee failure analysis, corrective actions, and continuous improvement of test coverage and infrastructure

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