Data Center Engineer, Resource Efficiency – Compute Supply

Anthropic is a public benefit corporation focused on creating reliable and interpretable AI systems. They are looking for a Data Center Engineer specializing in Resource Efficiency to optimize power and cooling in their AI infrastructure, ensuring efficient compute allocation across their TPU/GPU fleet.

Responsibilities:

• Build models that forecast consumption across electrical and mechanical subsystems, informing capacity planning, energy procurement, oversubscription targets and risks, including statistical modeling of cluster utilization, workload profiles, and failure modes
• Design IT/OT interfaces that bridge compute orchestration with facility controls, enabling real-time telemetry across accelerator hardware, power distribution, cooling, and schedulers
• Build and operate load management systems that use power and cooling topology to enable load management and power/thermal-aware placement to maximize throughput while meeting SLOs
• Partner with data center providers to drive design optimizations and hold them accountable to SLA-grade performance standards, providing technical diligence on partner architectures

Requirements:

• Bachelor's degree in Electrical Engineering, Mechanical Engineering, Power Systems, Controls Engineering, or a related field
• 5+ years of experience in data center infrastructure or facility engineering
• Demonstrated experience with data center power distribution and cooling system architectures
• Experience building or operating software-based power management, load scheduling, or control systems
• Proficiency in Python or similar languages for statistical modeling, simulation, or automation of data center infrastructure optimizations
• Familiarity with SCADA, BMS, EPMS, or industrial control systems and associated protocols (Modbus, BACnet, SNMP)
• Track record of cross-functional collaboration across hardware, software, and facilities teams
• Master's or PhD in Controls, Power Systems, or related discipline and 3+ years of experience in data center infrastructure or facility engineering
• Experience with accelerator-class deployments and their power management interfaces
• Background in control theory, dynamical systems, or cyber-physical systems design
• Experience with energy storage, microgrid integration, demand response, or behind-the-meter generation
• Familiarity with reliability engineering methods
• Experience with SLA development, availability modeling, or service credit frameworks
• Exposure to ML/optimization techniques applied to infrastructure or energy systems