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8 часов назад

Senior Network Deployment Engineer

253 000 - 295 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Network Deployment Engineer (AI Compute Infrastructure): Owning technical execution of large-scale network deployments for AI compute infrastructure with an accent on ZTP, validation automation, and fabric reliability. Focus on debugging link and fabric failures, defining acceptance criteria, and building tooling for 100k+ GPU networks.

Location: On-site in Austin, TX; New York, NY; San Francisco, CA; or Seattle, WA

Salary: $253,000–$295,000 per year, plus equity and benefits

Company

hirify.global builds and operates large-scale compute infrastructure for frontier AI, including power systems, data centers, hardware, and software.

What you will do

  • Own technical execution of network deployments across data center sites.
  • Define network standards, deployment tooling, validation suites, and fabric acceptance criteria.
  • Build and automate zero-touch provisioning flows and network turn-up processes.
  • Resolve complex link and fabric escalations, from optics and link training through routing and convergence.
  • Establish technical playbooks and ensure clean deployments without unresolved link issues.

Requirements

  • Senior-level experience leading large network deployments.
  • Experience building zero-touch provisioning and validation automation at scale.
  • Ability to debug link and fabric issues from optics through routing.
  • Experience delivering deployments with no unresolved network issues or punch-list items.

Nice to have

  • InfiniBand and RoCE experience.
  • Experience with 100k+ GPU fabrics.
  • Python or Go automation.
  • Optics-level debugging expertise.

Culture & Benefits

  • Full-time employment with base salary, equity, and benefits.
  • Environment centered on extreme ownership, autonomy, velocity, and first-principles thinking.
  • High-intensity work focused on building civilization-scale AI infrastructure.
  • Commitment to pay equity, compensation transparency, and equal employment opportunity.

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