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7 дней назад

Network Engineer (AI Infrastructure)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
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
Network Engineer (AI Infrastructure): Designing and bringing up large-scale GPU cluster networks for compute fabric, storage, front-end, and out-of-band management with an accent on InfiniBand, Spectrum-X Ethernet, physical-layer planning, and fabric validation. Focus on building networks for 1,000+ GPUs, automating configuration baselines, and troubleshooting performance across deployment and Day 2 operations.

Location: San Francisco, CA / Remote within the US; travel up to 25%.

Company

hirify.global is a market and infrastructure platform for buying, selling, operating, and financing compute, serving model builders, research labs, inference providers, and compute infrastructure providers.

What you will do

  • Design and bring up compute fabrics for large-scale GPU clusters, including InfiniBand, Spectrum-X Ethernet, rail-optimized topologies, and NVLink domain integration.
  • Design and capacity-plan storage, tenant-access, internet, and cloud-interconnect networks.
  • Create cabling plans, optics BOMs, and labeling standards for integrators.
  • Perform fabric bring-up, NCCL and fabric performance testing, and acceptance sign-off.
  • Serve as the escalation point for deployment and Day 2 fabric issues.
  • Develop configuration templates and tooling that establish a known-good baseline for each build.

Requirements

  • Hands-on design and bring-up of InfiniBand or RoCE fabrics for clusters with 1,000+ GPUs.
  • Experience with NVIDIA UFM and switch operating systems such as Cumulus or SONiC.
  • Practical knowledge of optics, transceivers, and high-density cabling.
  • Experience using Python and Ansible or similar tools for configuration and validation.
  • Ability to work with the Cluster Architect on design and deployment engineers on site through validation.
  • Ability to travel up to 25%.

Nice to have

  • Experience with GB200 or GB300 NVL72 rack-scale systems.
  • Data center interconnect and cloud interconnect design experience.
  • Experience working directly with customer ML infrastructure teams.

Culture & Benefits

  • Ownership of the network design standard for GPU clusters.
  • Work on current and next-generation fabrics across multiple sites and customers.
  • High-trust environment with a high talent density.
  • Healthcare, dental, and vision coverage for employees and dependents.
  • 401(k) and unlimited PTO.

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