OpenAI
Manufacturing Quality Engineer, Data Center Equipment
$165K–$290K
US - Remote · Hybrid · Full-time · Posted Oct 30, 2026
- Experience
- At least 10 years of data center industry experience spanning quality engineering and project management.
- Education
- Bachelor’s degree in electrical, mechanical, or industrial engineering.
About the job
Oversee supplier-factory quality for data center equipment, coordinating audits, testing, corrective actions, and deviations to ensure equipment is ready for shipment and deployment.
What you'll do
- Monitor supplier production, audit products and processes, and drive corrective actions through Closed Loop Learning.
- Develop and coordinate Factory Acceptance Testing (FAT) requirements and Factory Witness Testing (FWT) checklists; review test records.
- Manage equipment deviations and supplier issue resolution across project sites, tracking actions through closure.
What they ask for
- Bachelor’s degree in electrical, mechanical, or industrial engineering.
- At least 10 years of data center industry experience spanning quality engineering and project management.
- Experience coordinating FAT and FWT with suppliers and resolving equipment quality issues.
- Ability to define CTQs, develop test checklists, review results, and maintain auditable quality records.
Nice to have
- Technical knowledge of data center mechanical, electrical, and controls systems; supplier performance management for mission-critical facilities.
- ASQ quality certification, PMP or equivalent project management certification, or industrial/high-volume manufacturing experience.
Pay
$165K – $290K USD base salary
Tools
Closed Loop Learning (CLL), Factory Acceptance Testing (FAT), Factory Witness Testing (FWT), critical-to-quality (CTQ)
Model-written summary · the original posting is authoritative