Product Quality Engineer

Skip to main content Product Quality Engineer Meta Fremont, CA Apply Join or sign in to find your next job Join to apply for the Product Quality Engineer role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Product Quality Engineer Meta Fremont, CA 4 days ago 74 applicants See who Meta has hired for this role Apply Join or sign in to find your next job Join to apply for the Product Quality Engineer role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Report this job Meta provided pay range This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $144,000.00/yr - $204,000.00/yr Meta's Manufacturing Quality Engineering team is building the infrastructure that powers AI at a 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.Product Quality Engineer Responsibilities:Drive manufacturing metrics (yield, throughput, cycle time, first-pass yield rate) across NPI and MP phases, tracking progress against established targets and escalating risks proactivelyDevelop, validate, and implement manufacturing and test requirements for advanced compute and GPU systems from NPI through to mass production (MP)Evaluate and enhance test coverage, methodologies, and infrastructure to improve hardware reliability and performance at scale against defined targetsDrive 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 targetsTravel internationally to supplier sites (up to 25%) to manage hardware validation, ensure compliance with test requirements, and maintain technical partnershipsPartner with cross-functional engineering teams on power optimizations and...