Hardware Quality Engineer - AI Compute & GPUs

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 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