Data Center Infrastructure Architect

Responsibilities

• Define system-level architectures for high-density AI data centers across power, cooling, IT equipment, controls, and facility infrastructure.
• Develop digital twins and computational models for data center behavior across workloads, environmental conditions, equipment configurations, and failure scenarios.
• Use design and operational data to improve PUE and optimize capacity, reliability, water consumption, cost, and deployment schedules.
• Evaluate tradeoffs involving electrical topology, cooling architecture, rack density, redundancy, controls, maintainability, constructability, and operational complexity.
• Translate AI hardware requirements into facility, rack, power, and thermal architectures.
• Establish reusable reference architectures, modeling standards, design assumptions, performance requirements, and validation methodologies.
• Connect digital models with infrastructure behavior by partnering across software, data, controls, hardware, mechanical, electrical, construction, commissioning, and operations teams.
• Integrate telemetry from BMS, EPMS, DCIM, SCADA, equipment controllers, and IT hardware into modeling and optimization workflows.
• Lead technical reviews of customer and partner designs, identify risks, and recommend quantitatively grounded changes.
• Adapt reference solutions to site-specific customer constraints while preserving performance, reliability, and efficiency objectives.
• Support pilots, commissioning, performance testing, and post-deployment analysis.
• Help shape the technical roadmap for physical-infrastructure products and engineering services.

Requirements

• 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 decisions across multiple engineering disciplines.
• Experience with simulation, optimization, digital-twin, or physics-based modeling for physical infrastructure.
• Strong understanding of PUE, WUE, utilization, capacity, reliability, and total cost of ownership.
• Experience using operational telemetry to translate real-world system behavior into design improvements.
• Ability to evaluate tradeoffs involving performance, reliability, cost, schedule, scalability, sustainability, and maintainability.
• Ability to lead technical work in ambiguous, rapidly changing environments.
• Strong written and verbal communication skills for explaining complex engineering decisions to customers, executives, and cross-functional teams.
• Bachelor’s degree in mechanical engineering, electrical engineering, systems engineering, applied physics, or a related technical discipline.

Nice-to-haves

• Experience with high-density GPU clusters and direct-to-chip liquid cooling.
• Experience connecting facility models with workload, rack, server, or chip-level power and thermal behavior.
• Familiarity with Modelica, MATLAB/Simulink, Python, EnergyPlus, computational fluid dynamics tools, or equivalent platforms.
• Experience with BMS, EPMS, DCIM, SCADA, PLCs, data historians, or industrial controls.
• Experience developing reference designs or infrastructure architectures at a hyperscaler, data center operator, advanced engineering organization, or major design consultancy.
• Experience taking infrastructure concepts from modeling and prototype validation through deployment and operational feedback.
• Advanced degree in an engineering or scientific discipline.

Compensation

• Annual salary range: $360,000–$530,000 USD.