The opportunity
OpenAI’s Industrial Compute organization is building the infrastructure required to support the next generation of frontier AI systems. Through a combination of strategic partnerships and self-built data center campuses, we are scaling the physical infrastructure needed to deliver compute at unprecedented scale.
What you'll do
Develop and maintain commissioning program standards, playbooks, process: maps, templates, checklists, stage gates, and acceptance criteria across infrastructure projects.
Establish consistent workflows for commissioning planning, construction: readiness, QA/QC, issue management, document control, testing evidence, turnover, and lessons learned.
Define and maintain commissioning KPIs, dashboards, and scorecards that: provide visibility into readiness, inspection completion, deficiencies, test progress, data quality, and turnover health.
Own requirements and operating workflows across commissioning trackers,: construction management platforms, QA/QC systems, spreadsheets, and business intelligence tools.
Partner closely with commissioning and construction leads to translate field: execution needs into practical processes and tools that can scale across projects.
Monitor adoption, data quality, and effectiveness of commissioning standards: and tools; identify gaps and drive improvements as project and portfolio needs evolve.
What they're looking for
- Establish reporting cadences and develop executive-ready reporting that: clearly communicates commissioning health, trends, blockers, risks, and decisions required.
- Pilot new standards, processes, metrics, and tools on active projects,: incorporate field feedback, and scale successful approaches across the infrastructure portfolio.
- Partner with data, analytics, and tooling teams to improve automation,: source-of-truth alignment, data integrity, and reporting reliability.
- Drive continuous improvement by capturing lessons learned from project: execution and incorporating them into future commissioning standards, workflows, dashboards, and KPIs.
