Quality Engineer, Rack Infrastructure & Site Operations

📋 Job Overview

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 OpenAI

OpenAI is an artificial intelligence research laboratory that aims to develop and direct artificial intelligence in ways that benefit humanity as a whole. We are building a global network of advanced datacenters to support the most demanding AI workloads.

🎯 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.

✅ 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.

📌 Required 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 or supplier programs.
• Strong communication skills with experience influencing both technical and executive audiences.

⭐ Desirable Experience

• Technical knowledge of datacenter infrastructure systems, including mechanical, electrical, and compute components.
• Experience with datacenter infrastructure systems, including mechanical, electrical, and compute components.

🎁 Benefits

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible
Relocation support for eligible employees
Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

🛂 Visa & Eligibility

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.