Listing evidence and provenance
- Source
- Ashby View original listing
- Freshness
- Open in the current public read path; this is not an employer guarantee.Last observed October 5, 2026
- Classification
- Modern power-system classification not yet published for this listing.Legacy source industry field: Not Specified
- Pay provenance
- Pay not available
Job Description
OpenAI, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads.
Key Responsibilities
- 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.
- 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.
Requirements
- 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 or supplier programs.
- Strong communication skills with experience influencing both technical and executive audiences.
- Technical knowledge of datacenter infrastructure systems, including mechanical, electrical, and compute components.
- Experience in supplier performance management for mission-critical facilities.
- ASQ Certified Quality Engineer, Quality Manager, Quality Auditor or Lean Six Sigma certified Green Belt.
- PMP or equivalent project management certification.
- Experience in industrial or high-volume manufacturing environments.
Ready to Apply?
Apply directly on OpenAI's site
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