Product Quality Engineer

Meta; Menlo Park (CA); On-site; USD 118,000 - 170,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta climbs the frontier of AI hardware by building scalable manufacturing readiness for next‑generation compute and GPU platforms. A Product Quality Engineer on the Hardware Engineering team will drive validation, debugging, and process improvements to ensure reliability at hyperscale volumes.

You'll collaborate with design and global manufacturing partners, execute on test plans, and help transition prototypes to high‑volume production while championing quality and efficiency in every phase of

Qualifications

• 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

Responsibilities

• 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

Skills

Hardware testing

Scripting

Quality engineering

Manufacturing engineering

GPU architectures

Education

Bachelor's degree in engineering or related field

Tools

MES

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.

Product Quality Engineer Responsibilities:

• 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

Minimum Qualifications:

• 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

Preferred Qualifications:

• 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

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affimative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$118,000/year to $170,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.