Quality Engineer, Rack Infrastructure & Site Operations
OpenAI
Quality Engineer, Rack Infrastructure & Site Operations is a still-open role at OpenAI on Jobrow. Location: On-site · San Francisco · California · United States. Listed pay: $205k–$344k. Sourced from the company's public Ashby board. First seen 2 months ago; last confirmed 2 months ago. Apply on the employer ATS — Jobrow is not the employer.
- Pay
- $205k–$344k
- Workplace
- On-site
- Location
- San Francisco · California · United States
- First seen
- 2 months ago
- Last seen
- 2 months ago
- Board
- Ashby
About this role
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.
- Function: Infrastructure
- Seniority: mid
Location & pay
On-site · San Francisco · California · United States Listed pay on Jobrow: $205k–$344k.
Source
Jobrow reads the public Ashby board for OpenAI. First seen 2 months ago; last seen 2 months ago. We are not the employer — apply only on the company ATS.
Posting
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 mitig
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