Назад
1 день назад

Field Data Center Hardware Engineer (AI)

112 000 - 140 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Field Data Center Hardware Engineer (AI): Deploying and bringing NVIDIA H200 and B200 GPU platforms into production across high-density data center environments with an accent on hardware validation, Linux systems, networking, and operational execution. Focus on troubleshooting hardware, firmware, OS, and network issues, coordinating repairs, driving root-cause analysis, and leading concurrent infrastructure rollouts.

Location: United States; on-site data center deployment and repair coordination required. Applicants must be authorized to work in the country in which they apply.

Salary: $112,000–$140,000 USD base annually, plus quarterly performance bonuses.

Company

Nebius builds a full-stack AI cloud platform for data and model training, inference optimization, and production deployment at scale.

What you will do

  • Lead end-to-end deployment of GB-series racks in data center environments.
  • Install, bring up, validate, and prepare NVIDIA H200 and B200 servers for production.
  • Troubleshoot hardware, firmware, Linux OS, and networking issues across GPU-dense systems.
  • Develop Linux-based hardware health-check and diagnostic scripts and maintain deployment runbooks.
  • Coordinate on-site repairs, part replacements, vendor escalations, and root-cause analysis.
  • Lead deployment timelines and provide technical guidance to on-site engineers and technicians.

Requirements

  • Hands-on experience deploying and operating data center infrastructure.
  • Strong knowledge of GPU-dense systems, high-density rack deployments, and NVIDIA H-series platforms.
  • Solid Linux troubleshooting and scripting experience.
  • Ability to diagnose issues across hardware, operating system, firmware, and network layers.
  • Experience coordinating field repairs, working with hardware vendors, and leading technical teams or field operations.
  • Authorization to work in the United States is required.

Nice to have

  • Experience deploying AI or HPC clusters at scale.
  • Familiarity with automated provisioning and infrastructure lifecycle systems.
  • Experience in hardware qualification, burn-in testing, or factory validation.
  • Experience supporting rapid infrastructure expansion.
  • Exposure to ARM-based or heterogeneous compute environments.

Culture & Benefits

  • Collaboration with globally distributed engineering and operations teams.
  • Company-paid medical, dental, and vision coverage for employees and families.
  • 401(k) plan with up to 4% company match and immediate vesting.
  • Paid parental leave and company-paid disability and life insurance.
  • Career growth, learning opportunities, flexibility, ownership, and work on AI infrastructure projects.

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