Назад
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6 часов назад

Lead Electrical Engineer (AI)

208 000 - 263 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
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
Lead Electrical Engineer (AI): Defining and designing electrical equipment for large-scale AI data centers with an accent on switchgear, BBU, and busway architecture. Focus on leading cross-functional design teams, managing NRTL certification campaigns, and optimizing product lineups for speed and scale.

Company

hirify.global is building civilization-scale infrastructure for AI, focusing on rapid deployment of compute power through innovative data center design and hardware-software integration.

What you will do

  • Own product architecture across the LV/MV switchgear, BBU, and busway lineup.
  • Lead the gear design team across EE, ME, controls, and drafting disciplines.
  • Run the certification strategy end-to-end, including NRTL relationships and test campaign sequencing.
  • Set the ratings philosophy for short-circuit, withstand, and temperature-rise design standards.
  • Make strategic make-vs-buy recommendations per product category based on cost, schedule, and risk.

Requirements

  • 12+ years in switchgear and electrical equipment design, with leadership experience at an OEM.
  • Proven experience taking gear through UL 891/1558 or IEC 61439 listing, including witness testing.
  • Deep understanding of product architecture for LV/MV lineups and BBU integration.
  • Ability to structure and scale a high-performing gear design team.
  • Must be based in New York, Austin, San Francisco, or Seattle for this on-site role.

Nice to have

  • Experience with BBU or energy storage integration into gear.
  • Busway product experience or arc-resistant design expertise.
  • Deep existing relationships with NRTL labs.

Culture & Benefits

  • Competitive base salary with equity for all full-time roles.
  • High-intensity, fast-paced environment focused on solving frontier AI infrastructure challenges.
  • Autonomy and ownership over end-to-end product development.
  • Commitment to pay equity and transparency.

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