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Manufacturing Quality Engineer, Data Center Equipment
OpenAI · US - Remote · Posted 6 days ago
Shape quality for OpenAI's global AI data center network by working directly with factory suppliers to verify equipment before it ships and installs.
OpenAI and its capital and technology partners are building a global network of data centers for demanding AI workloads. The Infrastructure Quality team sets and verifies quality, reliability, and performance requirements for equipment across that network.
We work with manufacturing partners, general contractors, engineers, and operations staff from supplier qualification through commissioning. Together, we verify that equipment arrives ready for installation, startup, and long-term service.
As a Manufacturing Quality Engineer, you will oversee the quality of data center equipment at supplier factories. You will use production data, audits, and test results to identify systemic, recurring, or safety-related issues and work with suppliers to address them through Closed Loop Learning (CLL).
You will work with suppliers and internal teams to define inspections and factory tests for each type of equipment. You will coordinate issue resolution before shipment and manage deviations across multiple suppliers and project sites.
Key Responsibilities
Manufacturing Monitoring and Supplier Improvement
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This role is one of 9 Quality Engineer openings in Remote and centers on Factory Acceptance Testing, Factory Witness Testing, Quality Engineering, and Project Management. There are 854 open roles at OpenAI right now.
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