OpenAI
Data Center Infrastructure Architect
$257K–$327K
San Francisco · Full-time · Posted Oct 25, 2026
- Experience
- Significant experience required; no number of years stated.
- Education
- Bachelor’s degree in mechanical engineering, electrical engineering, systems engineering, applied physics, or a related technical discipline.
About the job
Develops and optimizes physical infrastructure architectures, models, and deployment practices for large-scale AI data centers.
What you'll do
- Define system-level architectures for AI data centers across power, cooling, IT equipment, controls, and facilities.
- Build and apply digital twins and computational models to evaluate designs, operational behavior, efficiency, and reliability.
- Review customer designs and support pilots, commissioning, and performance testing to improve reusable infrastructure solutions.
What they ask for
- 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 and experience making system-level decisions across engineering disciplines.
- Experience developing or applying simulation, optimization, digital-twin, or physics-based modeling to physical infrastructure.
- Bachelor’s degree in mechanical engineering, electrical engineering, systems engineering, applied physics, or a related technical discipline.
Nice to have
- Experience with high-density GPU clusters and direct-to-chip liquid cooling.
- Familiarity with Modelica, MATLAB/Simulink, Python, EnergyPlus, computational fluid dynamics tools, or equivalent platforms.
Pay
$257K – $327K USD base salary
Tools
Modelica, MATLAB/Simulink, Python, EnergyPlus, BMS, EPMS, DCIM, SCADA
AI focus
Designs and optimizes the physical infrastructure needed to deploy and operate AI systems at scale, including high-density compute, power, cooling, and digital modeling.
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