Senior Data Center Reliability & Infrastructure Engineer

Anthropic; San Francisco (CA); Hybrid; USD 320,000 - 405,000; Full time

Job summary

Anthropic seeks an engineer bridging IT and facilities to model power, topology, and load for our data-center fleet. You’ll define availability and capacity targets, work with operators and vendors, and shape where workloads are placed across sites in a fast-growing AI research environment.

Deep expertise in data center power distribution, reliability modeling, and energy scheduling is essential, with strong collaboration across hardware, software, and facilities teams to meet SLA-grade

Qualifications

• Bachelor's degree in a field relevant to data center infrastructure or engineering.
• 5+ years of experience in data center infrastructure, facility engineering, or reliability engineering.
• Experience with data center power distribution and cooling system architectures and failure mode management.
• Experience in at least one: building reliability/availability models, building power/energy models, or software-based power management.
• Track record of cross-functional collaboration across hardware, software, and facilities teams.

Responsibilities

• Own power and cooling topology for data centers and validate telemetry against real-world behavior.
• Build and audit availability models for data center electrical and mechanical systems; define Cloud availability zones and failure domains.
• Develop power draw models from chip to facility to support capacity planning, envelope design, and load forecasting.
• Collaborate with data center developers, operators, cloud providers, and vendors to drive design improvements and SLA-grade performance.

Skills

Power modeling

Reliability engineering

SCADA/BMS/EPMS

Telemetry pipelines

Cross-functional collaboration

Education

Bachelor's degree in Electrical/Mechanical/Power Systems

Tools

SCADA

EPMS

Telemetry

Job description

Anthropic seeks an engineer bridging IT and facilities to model power, topology, and load for our data-center fleet. You’ll define availability and capacity targets, work with operators and vendors, and shape where workloads are placed across sites in a fast-growing AI research environment.

Deep expertise in data center power distribution, reliability modeling, and energy scheduling is essential, with strong collaboration across hardware, software, and facilities teams to meet SLA-grade