Primary record

Manufacturing Quality Engineer – Datacenter Infrastructure

OpenAI Indexed employerSan Francisco
Source-hosted applyChecked 4h ago$230K–$355K/yrFull-Time
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Workplace

On-site

Employment

Full-Time

Published

Aug 23, 2026

Closes

No date supplied

The role

About the Team OpenAI, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads. The Infrastructure Quality team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance. We work closely with manufacturing partners, general contractors, engineering teams, and operations staff to ensure that every component is delivered ready for installation, startup, and long-term service. Our work spans from vendor qualification through commissioning, ensuring operational readiness across our global portfolio. About the Role We are seeking an experienced Manufacturing Quality Engineer (MQE) to establish, implement, and manage a manufacturing-focused quality program for datacenter infrastructure. This role will be responsible for vendor oversight, quality assurance, process improvement, and issue resolution for all critical systems. You will lead vendor audits, monitor performance metrics, and coordinate corrective actions to ensure predictable delivery schedules, reduced risks, and operational reliability. By partnering with vendors, construction teams, and internal stakeholders, you will help ensure OpenAI’s datacenters are delivered on time and built to the highest operational standards. Travel - Domestic and international travel as needed (estimated 40–60%) to manufacturing sites, datacenter locations, and partner facilities. Key Responsibilities Vendor Oversight & Performance Management - Conduct manufacturing evaluation, audits, and improve vendor performance across production, inspection, testing, and delivery phases. - Develop and track quality metrics to assess manufacturing performance and identify trends. - Partner with vendors to refine processes, training, and quality controls to mitigate risks before shipment. Program Development & Execution - Develop and maintain a datacenter-focused

Requirements

Department: Scaling; Team: Datacenter Design