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4 часа назад

Delivery Engineer (AI)

164 000 - 206 000$
Формат работы
hybrid
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

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TL;DR
Delivery Engineer (AI): Managing the end-to-end compute turn-up process for large-scale AI data centers with an accent on hardware qualification, firmware baselines, and automated provisioning. Focus on scaling infrastructure through software tooling and driving rapid deployment cycles for GPU and custom accelerator clusters.

Location: Must be based in the U.S. (New York, Austin, San Francisco, Seattle, or Remote U.S.)

Salary: $164,000 – $206,000 plus equity.

Company

hirify.global is building civilization-scale compute infrastructure to accelerate the development of frontier AI models.

What you will do

  • Own the compute turn-up process from facility availability to ready-for-service production status.
  • Qualify racks at scale by establishing firmware baselines, configuring BMC/BIOS, and running cluster-level validation.
  • Automate hardware workflows and provisioning stacks using Python or Go to minimize manual intervention.
  • Triage hardware failures, drive vendor escalations, and feed patterns back into qualification gates.
  • Partner with network, data center operations, and hardware teams to support incident response on live capacity.
  • Travel 30-40% of the time to data centers and labs for turn-up windows.

Requirements

  • Must have U.S. work authorization.
  • Experience bringing up server or GPU fleets at scale (hundreds of nodes or more).
  • Deep expertise in Linux and out-of-band management tools like BMC, IPMI, and Redfish.
  • Proven ability to automate hardware workflows using Python or Go.
  • Hands-on experience working in data halls with racking, cabling, and component swapping.
  • Ability to travel 30-40% of the time for on-site data center turn-ups.

Nice to have

  • Experience with Kubernetes-based bare-metal provisioning.
  • Background in accelerator platform bringup (NVIDIA, AMD, or custom).
  • Experience designing burn-in and stress harnesses.
  • Familiarity with DCIM and inventory tooling.

Culture & Benefits

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

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