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2 дня назад

Deployment Manager – Global Data Center Build and Deploy

Формат работы
remote (Global)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Deployment Manager – Global Data Center Build and Deploy (AI infrastructure): Leading end-to-end deployment of Cerebras AI clusters in large-scale data centers with an accent on rack integration, high-density cabling, and facilities readiness. Focus on troubleshooting complex integration blockers, coordinating technicians and cross-functional teams, and delivering safe, validated clusters under tight timelines.

Location: Remote, with required travel and physical presence at data centers for weeks at a time; headquarters/office in Sunnyvale.

Company

hirify.global builds large-scale AI accelerator hardware and systems for model labs, enterprises, and AI-native startups.

What you will do

  • Lead end-to-end deployment of hirify.global Wafer Scale Engine AI clusters, high-speed switches, storage, and rack-level infrastructure.
  • Coordinate rack integration, power components, white-space readiness, cooling readiness, containment, and grounding with facilities teams.
  • Manage high-density fiber and copper cabling, including spine-leaf and pod-level interconnects, routing, airflow clearance, labeling, and testing.
  • Direct data center technicians and troubleshoot cabling, connectivity, hardware placement, and integration issues blocking cluster bring-up.
  • Support validation, burn-in, operational handoff, and multiple parallel deployments across sites or availability zones.
  • Communicate deployment risks, dependencies, milestones, and readiness across network, server, AI platform, facilities, and operations teams.

Requirements

  • Bachelor’s degree in Engineering, IT, or equivalent practical experience.
  • 10+ years of experience in data center deployments, infrastructure delivery, or integration roles.
  • Hands-on experience deploying hyperscale AI, ML, or HPC infrastructure.
  • Strong experience with structured cabling in high-density environments and troubleshooting complex deployment issues.
  • Familiarity with high-speed fabrics such as InfiniBand and high-bandwidth Ethernet.
  • Experience providing direction to technicians, managing cross-functional deployment programs, and using DCIM or deployment tracking systems.

Culture & Benefits

  • Build an AI platform designed to extend beyond GPU constraints.
  • Work with one of the fastest AI supercomputers in the world.
  • Opportunity to contribute to and publish cutting-edge AI research.
  • Startup vitality combined with job stability.
  • Simple, non-corporate culture focused on individual beliefs, learning, growth, and support.

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