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3 дня назад

Staff Mechanical Engineer (AI Data Centers)

Формат работы
hybrid
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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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR
Staff Mechanical Engineer (AI Data Centers) (AI data centers): Designing and reviewing mechanical infrastructure for advanced machine learning and high-capacity computing environments with an accent on cooling, airflow, hydronic, piping, and heat-rejection systems. Focus on translating high-performance computing rack requirements into scalable solutions, coordinating multidisciplinary interfaces, and supporting commissioning, inspections, and operational handover.

Location: Austin, Texas, United States; Austin-based role with hybrid working arrangements and approximately 10%–20% travel for site visits, inspections, commissioning, and factory acceptance testing.

Company

hirify.global develops specialized hardware, software, and data center infrastructure for efficient artificial intelligence computing as part of SoftBank Group.

What you will do

  • Own and maintain mechanical design standards, specifications, and owner requirements for data center projects.
  • Review mechanical system designs, calculations, drawings, technical requirements, equipment selections, submittals, control sequences, and operational fit.
  • Translate AI and high-performance computing rack requirements into scalable cooling, airflow, hydronic, piping, and heat-rejection solutions.
  • Provide technical direction to consultants, developers, equipment suppliers, and engineering partners while coordinating interfaces with electrical, controls, fire protection, IT infrastructure, and site operations.
  • Lead design reviews, resolve technical issues, document decisions and risks, and evaluate reliability, maintainability, energy and water performance, capacity, and future expansion.
  • Support inspections, commissioning, factory acceptance testing, operational-readiness activities, requirements verification, and handover; guide engineers and assess emerging mechanical technologies.

Requirements

  • Bachelor’s degree or equivalent experience in mechanical engineering or a related discipline.
  • Experience crafting or reviewing mechanical systems for data centers, critically important facilities, or comparable infrastructure.
  • Knowledge of HVAC systems and equipment, including chillers, pumps, air-handling equipment, ductwork, piping, hydronic systems, and sequences of operation.
  • Experience reviewing design calculations, drawings, specifications, equipment submittals, and control strategies.
  • Experience coordinating mechanical requirements with IT, infrastructure, facilities, and multidisciplinary engineering teams.
  • Experience supporting commissioning, inspections, acceptance testing, issue resolution, and operational handover.
  • Ability to provide clear technical direction and communicate decisions through concise documentation and collaborative reviews.

Nice to have

  • Experience with hyperscale data centers, colocation facilities, or Tier III or Tier IV environments.
  • Professional Engineer license or comparable international credential.
  • Experience with high-density AI or high-performance computing infrastructure.
  • Knowledge of direct liquid cooling, high-capacity chilled-water systems, building automation, or advanced heat-rejection technologies.

Culture & Benefits

  • Medical, dental, and vision coverage for eligible U.S. employees, with options that may extend to eligible dependents.
  • Mental health, wellness, employee assistance, life insurance, and short- or long-term disability resources.
  • Retirement savings benefits and company contributions where applicable.
  • Paid vacation, sick time, company holidays, and parental or family leave according to applicable plans.
  • Flexible working hours, hybrid working arrangements where compatible with the role, professional development resources, learning programs, office amenities, and team-led activities.

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