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Meta · 14 hours ago

Component Quality Engineer, AI Accelerator

Fremont, CA

Full-time

Hybrid

Senior Level

$144K/yr - $204K/yr

5+ years exp

Meta is seeking a Component Quality Engineer responsible for working with suppliers and manufacturing partners to develop and implement quality programs for AI accelerators used in Meta AI/ML and Compute platforms. The role involves managing end-to-end quality, conducting audits, and ensuring product reliability performance while collaborating with various teams.

Computer Software

Comp. & Benefits

Responsibilities

Responsible for managing end-to-end quality, working closely with suppliers and internal teams to assure new product readiness and ensure performance meets the key Facebook quality and reliability metrics

Responsible for Supply Chain and Data Center quality excursion management through root cause analysis while driving implementation and validation of process improvement and corrective actions

Develop and implement component quality programs including continuous quality improvement initiatives

Use reliability prediction tools and techniques to evaluate product reliability performance on new products

Perform regular audits of manufacturing facilities

Monitor supplier’s adherence to new product introduction schedules to ensure predictable and stable mass production volume ramp

Conduct supplier capability and technology roadmap assessments to assist supply chain and hardware teams in vendor selection

Create and maintain all production process and quality documentation

Review all supplier product, process and engineering change notifications

10% International travel may be required

Qualification

AI acceleratorsGPU validationQuality systemsReliability mechanismsStatistical quality toolsOffshore contract managementElectrical EngineeringComputer ScienceProcess improvement

Required

BS Electrical Engineering or Computer Science, or equivalent

5+ years experience in advanced silicon product design, fabrication, test, reliability or product engineering

Experiences with AI accelerators and GPU validation, functionality, test and reliability. Experience with chiplet based products

Knowledge of reliability mechanisms and modeling/predictive fail rate analyses

Proven understanding of quality systems, audit experience and knowledge of statistical quality tools to drive and assist suppliers in continuous improvement initiatives

Experience working with and managing offshore contract manufacturers