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10 часов назад

Mechanical Engineer (Data Center)

169 000 - 208 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/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
Mechanical Engineer (Data Center): Owning mechanical engineering for data center sites with an accent on cooling and piping scope, field support, and commissioning. Focus on reviewing mechanical packages, resolving field RFIs, and optimizing reference designs for rapid, civilization-scale infrastructure deployment.

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

Salary: $169,000 – $208,000 per year

Company

hirify.global is building civilization-scale compute infrastructure to accelerate the deployment of frontier AI models.

What you will do

  • Own mechanical engineering for assigned data center sites, including cooling and piping scope.
  • Review mechanical packages against reference designs and identify impact-driven deviations.
  • Provide rapid field support by answering mechanical RFIs and turning recurring issues into design fixes.
  • Support startup and commissioning activities, including flushing, filling, and balancing.
  • Collaborate across hardware and software teams to maintain high-velocity construction schedules.

Requirements

  • Proven experience in mechanical engineering for data centers or industrial plants.
  • Fluency in reading P&IDs, hydraulic calculations, and equipment schedules.
  • Direct experience supporting construction and commissioning in the field.
  • Ability to provide fast, accurate RFI responses.
  • Must be authorized to work in the United States.

Nice to have

  • Experience with liquid cooling systems.
  • PE track or certification.
  • Pipe stress analysis expertise.
  • Modular skid design experience.

Culture & Benefits

  • Full-time role with competitive base salary and meaningful equity.
  • High-intensity, high-velocity work environment focused on solving frontier AI infrastructure challenges.
  • Culture of extreme ownership, first-principles thinking, and autonomy.
  • Comprehensive benefits package.

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