About the job
About the Team
At OpenAI, we are revolutionizing the future of artificial intelligence. Together with our trusted capital and technology partners, we are constructing a state-of-the-art network of advanced datacenters tailored to meet the rigorous demands of AI workloads. Our Industrial Compute team is dedicated to ensuring that all datacenter systems are manufactured, delivered, and commissioned to meet world-class standards of quality, reliability, and performance.
We collaborate closely with manufacturing vendors, general contractors, engineering teams, and operations organizations to guarantee that every component is primed for installation, startup, and long-term service. Our comprehensive approach spans vendor qualification through commissioning, ensuring operational readiness across our expansive global portfolio.
About the Role
We are looking for a skilled Quality Engineer (QE) to establish and oversee a scalable Product and Site Quality function within our industrial compute supply chain. You will be instrumental in driving end-to-end manufacturing quality, from supplier qualification and initial builds to factory acceptance, logistics, and installation readiness.
This role involves cross-functional collaboration with Design (NPI), Test Engineering, Manufacturing Engineering, and Operations to achieve key metrics such as First Pass Yield (FPY), reliability, yield, and validation objectives. You will lead proactive and corrective actions to eliminate systemic risks, while also evaluating and developing future suppliers to ensure that production capacity and quality processes evolve alongside OpenAI’s datacenter infrastructure growth.
Key Responsibilities
Conduct supplier capability assessments and perform quality audits across production, testing, and delivery processes.
Define and monitor quality metrics to identify trends and proactively address potential issues prior to shipment.
Develop and maintain a datacenter-focused manufacturing quality program that aligns with global deployment needs.
Integrate manufacturing quality requirements into sourcing, design, commissioning, and operational workflows.
Ensure vendor teams adhere to OpenAI’s quality standards and specifications through hands-on support and structured feedback.
Work closely with engineering, sourcing, construction, and operations teams to align quality priorities with project goals.
Lead root cause analysis, implement corrective and preventive action plans, and resolve quality non-conformances.
Audit quality activities at vendor and project sites to confirm compliance with requirements and ensure operational readiness.

