Job description

Meta's Manufacturing Quality Engineering team is building the infrastructure that powers AI at global scale. As a Product Quality Engineer on the Hardware Engineering team, you will play a critical role in bringing next-generation AI/ML hardware from concept to mass production directly enabling the compute capacity that drives Meta's products. This role sits at the intersection of engineering innovation and operations, where you will execute on the manufacturing readiness plan for advanced compute and GPU platforms, partner with design engineers and global manufacturing partners, and help ensure Meta's hardware fleet meets the highest standards of quality and reliability at hyperscale volumes. Support manufacturing metrics (yield, throughput, cycle time, first-pass rate) across assigned products, tracking progress against established targets and escalating risks proactively Execute, validate manufacturing and test requirements for assigned compute and GPU systems within a given build phase, with guidance from senior engineers Execute test coverage against defined plans and identify gaps in coverage, methodologies, and infrastructure to improve hardware reliability and performance at scale against defined targets Perform hardware debugging efforts, contributing to the Major Issue List and executing root cause analysis and Failure Analysis and Corrective Actions (FACA) to resolve hardware issues and meet yield targets Travel internationally to supplier sites (up to 25%) to manage hardware validation, ensure compliance with test requirements, and support the team's working relationship with CM partners Partner with cross-functional engineering teams on power optimizations and performance tuning for compute and GPU systems during manufacturing validation Support the technical transition of products from prototype builds to high-volume manufacturing, contributing to technical discussions to resolve open design and test issues Bachelor's degree in Computer Science Engineering, Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, or a relevant technical field, or equivalent practical hands on experience 1+ years of experience in manufacturing engineering, test engineering, systems engineering, hardware validation, quality engineering or a related technical field Working knowledge of hardware architecture with hands-on experience in the testing and validation of compute and GPU systems Background in process development, bring-up, and qualification, encompassing Final Assembly, Test, and Packout processes Scripting of test cases for compute / storage / AI/ML servers and racks 2+ years of experience in manufacturing engineering, test engineering, systems engineering, hardware validation, quality engineering or a related technical field Experience partnering with stakeholder teams to drive alignment on technical decisions, through proposals, design reviews, or presentations Background in reliability engineering methodologies including accelerated life testing and failure mode analysis Experience with data center hardware manufacturing at hyperscale Experience with test automation frameworks and manufacturing execution systems (MES) Advanced degree in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, or a related field Experience working with international contract manufacturers Experience with GPU architectures, high-performance computing systems, or AI/ML infrastructure hardware Experience identifying and scoping ambiguous technical problems, defining actionable next steps, and driving resolution Experience working within quality management systems such as ISO 9001 or in a hardware manufacturing environment Experience in program and project management, supporting complex hardware products from NPI through to high-volume Mass Production (MP) launch

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Keywords to mirror

aiml

Platform: meta
Effort: medium