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2 дня назад

Hardware Qualification Lead

200 000 - 275 000$
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

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TL;DR
Hardware Qualification Lead (AI Compute Infrastructure): Leading the Fluidstack Labs team in qualifying next-generation compute, network, and rack hardware for large-scale AI infrastructure with an accent on qualification roadmaps, lab operations, and vendor engagement. Focus on making deploy-or-not decisions, building disciplined lab environments, and using hardware qualification data to define fleet standards.

Location: Glendale, Arizona, United States; on-site

Salary: $200,000–$275,000 per year, plus equity

Company

hirify.global builds and operates large-scale compute infrastructure for frontier AI, including power systems, data centers, hardware, and software.

What you will do

  • Lead hirify.global Labs, qualifying next-generation compute, network, and rack hardware before fleet deployment.
  • Own the qualification roadmap, including test scope, quality bars, timelines, sourcing coordination, and deployment plans.
  • Run lab operations across environments, equipment, processes, and throughput.
  • Make fleet standardization and deploy-or-not decisions based on qualification data.
  • Engage hardware vendors on roadmaps, escalations, and early-access programs.
  • Publish qualification results that support company-wide infrastructure decisions.

Requirements

  • Experience leading hardware qualification, systems engineering, or lab teams for compute or infrastructure.
  • Experience owning deploy-or-not decisions involving significant financial investment.
  • Experience establishing lab environments and disciplined operating processes.
  • Ability to engage vendors as a peer on roadmaps, escalations, and early access.
  • Ability to communicate results clearly so the organization can act on them.
  • Ability to work on-site in Glendale, Arizona.

Nice to have

  • Experience with GPU and accelerator systems.
  • NPI process experience.
  • Failure analysis program experience.
  • Hyperscale hardware experience.

Culture & Benefits

  • Full-time compensation includes base salary, equity, and benefits.
  • Additional equity may be available for outstanding candidates.
  • Work emphasizes extreme ownership, autonomy, speed, and first-principles thinking.
  • High-intensity work focused on advancing frontier AI infrastructure.
  • Commitment to pay equity and transparency.

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