OpenAI· Datacenter Design· San Francisco
Quality Engineer - Rack Infrastructure & Site Operations - Stargate
Comp$205K – $344K
Classified Tasks (21)
Automate 0%Augment 33%Human-Only 67%
Augment (7)
AI assists, human decides
Implement and manage a comprehensive, quality-focused program across the global supply chain network
operational
Maintain and elevate manufacturing site quality standards
operational
Drive yield improvement initiatives such as Yield Bridge and Continuous Process Improvement (CPI)
analytical
Oversee ongoing supplier performance and readiness for future business awards
operational
Monitor key performance metrics to assess manufacturing performance and identify trends
analytical
Develop and track quality metrics to refine processes, training, and quality controls to mitigate deployment risks
analytical
Facilitate root cause analysis and drive systemic process improvements for recurring manufacturing and datacenter quality and reliability issues
analytical
Human-Only (14)
Requires human judgment
Develop and establish a datacenter-focused manufacturing quality program that supports global deployment schedules
leadership
Ensure end-to-end quality of finished products
operational
Lead site and fixture validation efforts
technical
Implement corrective and preventive actions (CAPA) to resolve issues at their root cause
operational
Assess and qualify new vendors
operational
Conduct vendor capability assessments, quality audits, and improve vendor performance across production, testing, and delivery phases
operational
Coordinate corrective actions to ensure predictable delivery schedules, reduced operational risk, and high system reliability
operational
Partner with external suppliers and internal Engineering and Operations stakeholders to ensure datacenter infrastructure is delivered on time and meets quality standards
communication
Establish effective cross-functional communication between manufacturing sites, datacenter design teams, and operations
communication
Collaborate with engineering, sourcing, and site operations to establish quality processes and standards aligned with project goals
communication
Mentor supplier teams and provide structured feedback to drive continuous improvement
leadership
Audit quality activities at supplier sites to verify compliance with requirements and lead CAPA plans for audit findings and nonconformances
operational
Work with manufacturing partners, engineering teams, and operations staff to ensure components are delivered ready for installation, startup, and long-term service
operational
Ensure datacenter systems are manufactured, delivered, and commissioned to meet quality, reliability, and performance standards
operational
Job description
OpenAI Careers ## Quality Engineer - Rack Infrastructure & Site Operations - Stargate Datacenter Design - San Francisco Apply now(opens in a new window) **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. We work closely with manufacturing partners, engineering teams, and operations staff to ensure that every component is delivered ready for installation, startup, and long-term service. **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. You will be responsible for end-to-end quality of finished products, as well as maintaining and elevating manufacturing site quality standards. Working cross-functionally with Design (NPI) and Engineering teams, you will help achieve First Pass Yield (FPY), quality, and reliability targets. This includes leading site and fixture validation efforts, driving yield improvement initiatives (Yield Bridge, CPI), and implementing robust corrective and preventive actions (CAPA) to resolve issues at their root cause. In addition, you will play a key role in supplier quality management, assessing and qualifying new vendors, overseeing ongoing supplier performance, and ensuring readiness for future business awards. You will lead vendor audits, monitor key performance metrics, and coordinate corrective actions to ensure predictable delivery schedules, reduced operational risk, and high system reliability. By partnering closely with external suppliers and internal Engineering and Operations stakeholders, you will help ensure OpenAI’s datacenter infrastructure is delivered on time, meets the highest quality standards, and supports reliable, scalable operations. **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. **Travel** Domestic and international travel as needed (estimated 30%) to manufacturing sites, datacenter locations, and partner facilities. **Minimum Qualifications** * 10+ years in manufacturing quality management, supplier quality engineering, process improvement, or datacenter engineering/operations. * Bachelor’s degree in engineering, manufacturing, construction management, or related field (or equivalent work experience). * Demonstrated ability to analyze data, solve problems, and improve manufacturing processes. * Proven track record managing deliverables for complex projects o