Anthropic
Data Center Engineer, Reliability & Infrastructure Management – Compute Supply
$320K–$405K
San Francisco, CA +2 · Remote · Full-time · Posted Oct 5, 2026
- Location
- San Francisco, CA
New York City, NY
Remote-Friendly US (Travel Required) - Experience
- 5+ years; logistics section says required years correlate with internal job-level requirements.
- Education
- Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Power Systems, Reliability Engineering, Controls Engineering, or a related field; or an equivalent combination of education, training, and/or experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; if an offer is made, Anthropic says it will make every reasonable effort to obtain a visa and provides immigration counsel.
About the job
Designs and manages power, cooling, reliability, and load-management systems for Anthropic’s data center compute fleet, informing site selection, capacity planning, SLAs, and workload placement.
What you'll do
- Own and validate fleet power and cooling topology, and define load-management behavior under failures through commissioning and incident support.
- Build and audit availability, power-draw, and load-forecasting models to guide capacity planning and failure-domain design.
- Conduct technical diligence with data center developers, operators, cloud providers, and chip vendors on designs, reliability, specifications, and performance commitments.
What they ask for
- Bachelor’s degree in a relevant engineering field; the posting also lists a bachelor’s degree or equivalent combination of education, training, and/or experience.
- 5+ years of experience in data center infrastructure, facility engineering, or reliability engineering.
- Demonstrated experience with data center power distribution and cooling architectures and infrastructure failure-mode management.
- Demonstrated experience in reliability or availability modeling, power/energy/capacity modeling, or software-based power management, load shedding, or control systems; cross-functional collaboration across hardware, software, and facilities teams.
Nice to have
- Accelerator-class deployments, rack power architectures, and power-management interfaces; experience across multiple focus areas.
- Integrated systems testing and commissioning, SLA development, energy storage or microgrids, or ML/optimization techniques for infrastructure or energy systems.
Pay
$320,000 — $405,000 USD annual base salary
Tools
SCADA, BMS, EPMS, Monte Carlo, fault tree, reliability block diagram, FMEA, ML
AI focus
Applies infrastructure and energy modeling to support compute capacity for AI workloads; ML or optimization techniques applied to infrastructure or energy systems are preferred.
Model-written summary · the original posting is authoritative