Jobs / United States / Anthropic Pbc D B A Anthropic INC
Data Center Engineer, Reliability & Infrastructure Management – Compute Supply
Anthropic Pbc D B A Anthropic INC · 🇺🇸 San Francisco, CA | New York City, NY
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordUSCIS Data Hub records 1 H-1B approvals for this employer in FY2023. Source: USCIS H-1B Employer Data Hub (US Citizenship and Immigration Services).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Anthropic Pbc D B A Anthropic INC
USCIS Data Hub records 1 H-1B approvals for this employer in FY2023. Source: USCIS H-1B Employer Data Hub (US Citizenship and Immigration Services).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Anthropic Pbc D B A Anthropic INC →
About the role
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an engineer on this team, you'll sit at the intersection of IT and facilities. You'll build the power models, availability models, topology and load management requirements that operate more efficiently against our physical envelope. Your work will directly shape which sites we lease, what SLAs we sign, how far we oversubscribe, and where workloads are placed. What You'll Do • 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. What We're Looking For • 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. Required Qualifications • 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 Preferred Qualifications • 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