Quality Engineer

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 Industrial Compute team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance.

About the Role

We are seeking an experienced Quality Engineer (QE) to drive Product and Site Quality initiatives across OpenAI’s infrastructure ecosystem. In this role, you will establish, implement, and manage a comprehensive, quality-focused program across our global supply chain network, ensuring excellence from design through deployment.

Key Responsibilities

• Develop and establish a datacenter-focused manufacturing quality program that supports global deployment schedules.
• Conduct vendor capability assessments, quality audits, and improve vendor performance across production, testing, and delivery phases.
• Develop and track quality metrics to assess manufacturing performance and identify trends and work to refine processes, training, and quality controls to mitigate deployment risks.
• Establish effective cross-functional communication between manufacturing sites, datacenter design teams, and operations.
• Collaborate with engineering, sourcing, and site operations to establish quality processes and standards with project goals.
• Mentor supplier teams and provide structured feedback to drive continuous improvement.
• Audit quality activities at supplier sites to verify compliance with requirements and lead corrective and preventive action plans for audit findings and quality nonconformances.
• Facilitate root cause analysis and drive systemic process improvements for recurring manufacturing issues and DC quality and reliability issues.