The opportunity
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…
What you'll do
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.
What they're looking for
- 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.
