Назад
Company hidden
8 часов назад

Commissioning Automation Engineer

224 000 - 279 000$
Формат работы
onsite
Тип работы
fulltime
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
Commissioning Automation Engineer (AI data center infrastructure): Build software that automates commissioning through test orchestration, data capture, pass-fail analysis, and executable tooling across sites with an accent on hardware and control-system integration. Focus on integrating BMS, EPMS, and test equipment, creating traceable evidence from raw data, and replacing manual expert processes with reliable production software.

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

Salary: $224,000–$279,000 per year, plus equity

Company

hirify.global builds and operates large-scale compute infrastructure for frontier AI, spanning data center hardware and software.

What you will do

  • Build software to automate commissioning through test orchestration, data capture, and pass-fail analysis for L4 and L5.
  • Develop tooling that converts commissioning scripts into executable, repeatable code across sites.
  • Integrate software with BMS, EPMS, and test equipment so evidence is collected automatically.
  • Create live reporting for commissioning status and results.

Requirements

  • Experience building test automation or orchestration systems for hardware, infrastructure, or industrial applications.
  • Experience integrating software with control systems or instrumentation.
  • Ability to design auditable systems where every result is traceable to raw data.
  • Experience replacing manual expert processes with trusted software.
  • Ability to ship quickly with production discipline.

Nice to have

  • Commissioning domain experience.
  • Knowledge of BMS protocols.
  • Python, Go, or TypeScript experience.
  • Data center MEP familiarity.

Culture & Benefits

  • Full-time employment with base salary, equity, and benefits.
  • High autonomy and end-to-end ownership.
  • Fast execution, first-principles thinking, and production discipline.
  • Work focused on frontier AI compute infrastructure at large scale.
  • Pay equity and compensation transparency.

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