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Manufacturing Quality Engineer, Data Center Equipment

OpenAI

Manufacturing Quality Engineer, Data Center Equipment is a still-open role at OpenAI on Jobrow. Location: Hybrid · US - Remote · United States. Listed pay: $165k–$290k. Sourced from the company's public Ashby board. First seen 1 hour ago; last confirmed 1 hour ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$165k–$290k
Workplace
Hybrid
Location
US - Remote · United States
First seen
1 hour ago
Last seen
1 hour ago
Board
Ashby
Apply

About this role

About the Team OpenAI and its capital and technology partners are building a global network of data centers for demanding AI workloads.

  • Function: Engineering
  • Seniority: mid

Location & pay

Hybrid · US - Remote · United States Listed pay on Jobrow: $165k–$290k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 1 hour ago; last seen 1 hour ago. We are not the employer — apply only on the company ATS.

Posting

About the Team 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. About the Role 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 - Manufacturing monitoring: Work with Manufacturing Operations to monitor production progress, quality controls, inspection results, and test readiness. Flag emerging risks and coordinate a response with suppliers. - Product and process audits: Audit products and processes during and after production against engineering requirements, critical-to-quality (CTQ) characteristics, approved procedures, and quality standards. Document findings and track corrective actions to closure. - Manufacturing coordination: Agree on production checkpoints and inspection and testing requirements with suppliers, engineering, sourcing, supply chain, commissioning, and quality teams. Escalate risks to equipment acceptance or delivery. - Manufacturing scorecards: Develop supplier and product scorecards with Manufacturing Operations. Review audit findings, test results, recurring defects, and open issues with suppliers to prioritize improvements. - Drive continuous improvement: Lead the CLL process with suppliers. Track root cause analyses and corrective and preventive actions in a shared register. Verify that each action addresses the underlying problem before closing it. Factory Acceptance Testing (FAT) - Standardize requirements and formats: Develop product-specific FAT requirements and standard test formats with equipment suppliers and OpenA

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