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3 дня назад

AI Infrastructure Engineer (Emerging Technologies)

Формат работы
remote (только USA)
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

Текст:
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TL;DR

AI Infrastructure Engineer (Emerging Technologies): Designing and evaluating next-generation AI-ready data center infrastructure strategies with an accent on compute architectures, high-density power, and advanced cooling. Focus on bridging emerging AI trends with practical implementation in data center development and energy infrastructure planning.

Location: Remote (US). Must be authorized to work for any employer in the U.S.

Company

hirify.global is a leading provider of colocation and interconnection data center services.

What you will do

  • Evaluate emerging AI infrastructure technologies and develop future-ready data center strategies.
  • Analyze AI workload characteristics, including training vs. inference and GPU utilization patterns, to determine infrastructure impact.
  • Model AI rack power density trends and assess the implications of evolving chip architectures (GPUs, ASICs) on cooling and electrical distribution.
  • Support conceptual design for AI-ready infrastructure, focusing on liquid cooling, modular strategies, and microgrid solutions.
  • Collaborate with energy strategy teams to evaluate utility constraints, grid limitations, and onsite generation opportunities.
  • Lead technical assessments of next-generation vendor technologies regarding reliability, scalability, and energy efficiency.

Requirements

  • Bachelor's degree in Electrical, Mechanical, Computer Engineering, Computer Science, or a related technical discipline.
  • 5+ years of experience in data center infrastructure, AI/HPC infrastructure, power systems, or cooling technologies.
  • Strong understanding of emerging AI compute technologies and their physical infrastructure implications.
  • Must be authorized to work in the U.S. without sponsorship (including CPT/OPT).

Nice to have

  • Master's degree or PhD in Engineering, Computer Science, Data Science, or Energy Systems.
  • Experience with hyperscale or colocation data center environments.
  • Knowledge of GPU infrastructure and high-density cooling technologies.
  • PE license or equivalent advanced technical credentials.

Culture & Benefits

  • Remote work flexibility.
  • Commitment to environmental stewardship (ISO 14001) and information security (ISO 27001).
  • Equal Opportunity Employer environment.

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