This role is for a Data Center Engineer who sits at the intersection of IT and facilities to build and manage power and cooling topology, reliability modeling, power forecasting, and partner diligence for Anthropic’s compute infrastructure. The engineer will own fleet-wide datasets, validate telemetry, develop availability models, forecast power draw, and work with external vendors and internal teams to meet SLA requirements and design improvements.
Data Center Engineer, Reliability & Infrastructure Management – Compute Supply en Anthropic
Remoto - San Francisco, CA | New York City, NY
Más vacantes en AnthropicSalary
USD 320,000 - 405,000
Requirements
Skills
- Deep knowledge of data center power distribution and cooling architectures, redundancy schemes, and how they interact with IT load profiles.
- Depth in at least one of: reliability engineering, power modeling and energy scheduling, or load management and controls (telemetry, IT/OT interfaces, load transfer and shedding systems).
- Familiarity with SCADA/BMS/EPMS, telemetry pipelines, and control systems. Experience with software that bridges IT and OT.
- Exposure to accelerator deployments and their power management interfaces, or to capacity overallocation in large compute fleets, strongly preferred.
- Ability to translate between infrastructure engineering, software teams, legal and commercial teams, and external partners.
- Bachelor's degree in Electrical Engineering, Mechanical Engineering, Power Systems, Reliability Engineering, Controls Engineering, or a related field
- 5+ years of experience in data center infrastructure, facility engineering, or reliability engineering
- Demonstrated experience with data center power distribution and cooling system architectures, and infrastructure failure mode management
- Demonstrated experience in at least one of the following:
- Building quantitative reliability or availability models (Monte Carlo, fault tree, reliability block diagram, or FMEA)
- Building power, energy or capacity models and forecasts from measured data
- Building, testing or operating software-based power management, load shedding, or control systems
- Track record of cross-functional collaboration across hardware, software, and facilities teams
- Experience in more than one of the three focus areas above
- Experience with accelerator-class deployments, rack power architectures, and their power management interfaces
- Experience with integrated systems testing and commissioning (L4/L5), or writing sequences of operation
- Experience with SLA development, availability commitments, or service credit frameworks in leases or cloud contracts
- Experience with energy storage, microgrid integration, demand response, or behind-the-meter generation
- Exposure to ML or optimization techniques applied to infrastructure or energy systems
Responsibilities
- Topology and load management: Own the power and cooling topology of our fleet as a living dataset, validate it and its telemetry against how the buildings really behave, and define how load management behaves under failure across chips and capacity providers, from requirements through commissioning and incident support.
- Reliability modeling: Build and audit availability models of data center electrical and mechanical systems, define Cloud availability zones and failure domains, from a single site to the whole fleet.
- Power modeling and load forecasting: Build models of power draw from chip to rack to facility, by workload and hardware generation, and use them to set capacity planning targets, design envelope, and load forecasting.
- Partner diligence: Work with data center developers, operators, cloud providers and chip vendors to drive design improvements and hold them to SLA-grade performance, with technical diligence on their architectures, reliability studies, rack power specifications and operator interfaces.
Technologies
SCADABMSEPMSTelemetry pipelinesControl systemsMonte CarloFault treeReliability block diagramFMEACloud availability zonesAccelerator deploymentsPower, energy or capacity modelsSoftware-based power managementLoad shedding systemsIntegrated systems testing and commissioning (L4/L5)SLA developmentAvailability commitmentsService credit frameworksEnergy storageMicrogrid integrationDemand responseBehind-the-meter generationML or optimization techniques applied to infrastructure or energy systems
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