Base Career helps you apply smarter for this job.
Key skills for this 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
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
San Francisco, USA
San Francisco, USA
San Francisco, USA
, USA
, USA
San Francisco, USA
San Francisco, USA
San Francisco, USA
Domestic and international travel as needed (estimated 30%) to manufacturing sites, datacenter locations, and partner facilities.
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.
OpenAI is an AI research company building general-purpose artificial intelligence systems, known for creating ChatGPT and the GPT series of large language models.
Visit company websiteJobs and hiring trendsFull-time
Senior · 10+ years experience
Apply faster on company sites with our extension.