Openai

Actively Hiring

Others

San Francisco, United States

Full time

Role Overview

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

About Openai

OpenAI is an AI research and deployment company. Our mission is to ensure that artificial general intelligence benefits all of humanity.

Key Responsibilities

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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.

Requirements & Eligibility

Significant experience designing or optimizing hyperscale data centers, large mission-critical facilities, or comparable infrastructure systems.
Broad knowledge of data center electrical and mechanical systems, including power distribution, backup power, thermal management, liquid cooling, heat rejection, controls, and monitoring.
Experience making system-level design decisions across multiple engineering disciplines.
Experience developing or applying simulation, optimization, digital-twin, or physics-based modeling techniques to physical infrastructure.
Strong understanding of data center efficiency and performance metrics, including PUE, WUE, utilization, capacity, reliability, and total cost of ownership.
Experience working with operational telemetry and translating real-world system behavior into design improvements.
Ability to evaluate complex tradeoffs involving performance, reliability, cost, schedule, scalability, sustainability, and maintainability.
Demonstrated ability to lead technical work in ambiguous, rapidly changing environments.

Required Skills & Tech

ModelicaMATLAB/SimulinkPythonEnergyPlusBMSEPMSDCIMSCADAPLCs

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Role Highlights

Posted Date

25 Oct 2026

Salary

$257K – $327K • Offers Equity

Experience

Several years of experience

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