The opportunity
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.
What you'll do
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.
Standardize requirements and formats: Develop product-specific FAT requirements and standard test formats with equipment suppliers and OpenAI’s engineering, commissioning, quality, and Manufacturing Operations teams.
What they're looking for
- Define critical quality requirements: Document the CTQ characteristics each test must verify in an OpenAI-accepted format. Use CLL findings to revise FAT procedures so future tests check for known failure modes.
- Ensure auditable supplier records: Require suppliers to retain test results and make them available for OpenAI audits.
- Manage documentation and revision control: Review final FAT records and audit reports for each piece of equipment and maintain a controlled revision history.
- Conduct periodic supplier audits: Check that suppliers follow approved test procedures and that their records accurately reflect the tests performed.
