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7 часов назад

Energy Systems Control Engineer (AI)

164 000 - 206 000$
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
Energy Systems Control Engineer (AI): Engineering demand management controls and control strategies for large-scale AI compute infrastructure with an accent on grid signals, power systems, and industrial load management. Focus on building control logic for IT load and cooling, integrating with utility markets, and validating strategies through simulation.

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

Salary: $164,000 – $206,000

Company

hirify.global is building civilization-scale compute infrastructure to power the next generation of AI, focusing on speed and scale in data center design and operation.

What you will do

  • Engineer demand management controls to flex gigawatts of load against grid signals and pricing.
  • Build control strategies that coordinate IT load, cooling, and behind-the-meter generation.
  • Integrate with utility and market signals to ensure verified response and settlement-grade data.
  • Validate control strategies in simulation before deploying them across the fleet.

Requirements

  • Proven experience engineering controls for energy systems such as demand response, microgrids, or industrial load management.
  • Ability to build control logic that operates on real load while maintaining strict constraints.
  • Strong understanding of power systems and automation limitations.
  • Experience integrating with utility or market signals.
  • Must be authorized to work in the United States.

Nice to have

  • Experience with data center power and cooling systems.
  • Knowledge of BESS controls and ISO/RTO market mechanics.
  • Proficiency in optimization methods.

Culture & Benefits

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

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