Data Center Infrastructure Architect

About the Team

OpenAI’s Industrial Compute team is building and productizing infrastructure capabilities that help organizations deploy and operate advanced AI systems at scale. The team works across AI hardware, systems engineering, physical infrastructure, and customer delivery to turn emerging technologies into reliable, repeatable infrastructure solutions.

About the Role

We are seeking a senior, hands-on Data Center Infrastructure Architect to develop and optimize the physical infrastructure required for large-scale AI deployments.

Key Responsibilities

• Define system-level architectures for high-density AI data centers across power, cooling, IT equipment, controls, and facility infrastructure.
• Develop digital twins and other computational models that represent the behavior of data center systems under changing workloads, environmental conditions, equipment configurations, and failure scenarios.
• Use design and operational data to identify constraints, improve PUE and related efficiency metrics, and optimize capacity, reliability, water consumption, cost, and deployment schedules.
• Evaluate tradeoffs across electrical topology, cooling architecture, rack density, redundancy, controls, maintainability, constructability, and operational complexity.
• Translate evolving AI hardware requirements into practical facility, rack, power, and thermal architectures.
• Establish reference architectures, modeling standards, design assumptions, performance requirements, and validation methodologies that can be reused across customer deployments.
• Partner with software, data, controls, hardware, mechanical, electrical, construction, commissioning, and operations teams to connect digital models with real infrastructure behavior.
• Integrate telemetry from systems such as BMS, EPMS, DCIM, SCADA, equipment controllers, and IT hardware into modeling and optimization workflows.
• Lead technical reviews of customer and partner designs, identify material risks, and recommend changes grounded in quantitative analysis.
• Work with customers and delivery teams to adapt reference solutions to site-specific constraints while preserving performance, reliability, and efficiency objectives.
• Support pilots, commissioning, performance testing, and post-deployment analysis to validate models and continuously improve infrastructure designs.
• Help shape the technical roadmap for Industrial Compute’s physical-infrastructure products and engineering services.