InterviewHack.ai
Start free
Jobs / Anthropic

Data Center Engineer, Reliability & Infrastructure Management – Compute Supply

Anthropic·San Francisco, CA | New York City, NYsenior

In short

  • →Ingeniero de infraestructura de centros de datos enfocado en fiabilidad y gestión de carga.
  • →Modela consumo de energía, topología eléctrica y disponibilidad de sitios físicos para optimizar el uso de recursos.
  • →Trabaja directamente con proveedores, operadores y equipos técnicos para definir SLAs y estrategias de escalabilidad.

Experiencia en entornos técnicos internacionales o trabajo con equipos globales, con domin

Apply on company site ↗Share on WhatsApp
✓ Free to start✓ Runs in your browser✓ First dossier, no card✓ Ready in ~1 minute

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Your first dossier is free.

The questions they'll ask you

1. ¿Cómo has modelado la disponibilidad de un sistema eléctrico en un centro de datos usando Monte Carlo o FMEA?

2. Describe un caso donde ajustaste la carga de un rack basado en datos de telemetría y el impacto resultante.

3. ¿Cómo has colaborado con proveedores de nube o fabricantes de chips para mejorar la especificación de potencia o enfriamiento?

🔒 +7 more questions

No card. Upload your resume and the full dossier is ready in ~1 minute.

🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →

💵 USD · Remote · No visa

Not finding what you want? Try Micro1

Micro1 places engineers directly at US companies paying in USD. One vetting, multiple offers — no cold applying.

Get matched by Micro1 →
📬Jobs picked for YOUR resume, every morning on WhatsApp. Free: text “vacantes” and the bot sends your daily matches. Subscribe →

What they ask for

  • ✓Título en Ingeniería Eléctrica, Mecánica, Sistemas de Potencia, Ingeniería de Confiabilidad o afín
  • ✓5+ años en infraestructura de centros de datos, ingeniería de instalaciones o ingeniería de confiabilidad
  • ✓Experiencia comprobada en arquitecturas de distribución de energía y enfriamiento en centros de datos
  • ✓Habilidad demostrada en modelado cuantitativo de confiabilidad o disponibilidad (Monte Carlo, árbol de fallos, etc.)
  • ✓Experiencia en modelado de potencia, energía o capacidad con datos reales
  • ✓Capacidad para colaborar entre equipos de hardware, software y facilities

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

SCADABMSEPMStelemetry pipelinescontrol systemssoftware de gestión de cargasistemas de shedding de cargamodelado de potenciaanálisis de modos de falloFMEA

Who should you write to at Anthropic?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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 Qu

Looking for something similar?

Leave your email and we'll alert you when matching jobs appear.

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.

InterviewHack.ai

Prepare for the exact interview: who's interviewing you, a tailored CV, and a real coach.

Product

JobsCompanies hiringAll free toolsResume verdict (Jev)Free cover letterInterview questions by role"Tell me about yourself" answerFree ATS checkerInterview-English checkSalary checkSalary negotiation scriptFree STAR answerLinkedIn headline + AboutLATAM salary reportFree coursesBlogTailored CVSpoken practicePricingAffiliates — 30%

Remote jobs

ReactPythonFull-StackLATAMArgentinaMexicoSee all →

Prepare

Spoken practiceFrontendBackendAI EngineerBy companySell with your CV

Company

For employersAboutContactPrivacyTerms

© 2026 InterviewHack.ai · Your CV is yours. Never used to train anything. · A product of IA-PTY

Similar open roles

Staff + Software Security Engineer, Secure Frameworks

Anthropic · San Francisco, CA | New York City, NY | Seattle, WA

→

US Public Sector Compliance, Security GRC

Anthropic · San Francisco, CA | New York City, NY

→

Staff + Software Security Engineer, Labs

Anthropic · San Francisco, CA | New York City, NY | Seattle, WA

→

AV Engineer, Platform & Automation

Anthropic · San Francisco, CA | New York City, NY

→