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49 минут назад

Network Engineer (AI)

202 000 - 261 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
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): Designing and scaling high-performance data center network fabrics for massive AI training clusters with an accent on lossless RDMA (RoCEv2) and large-scale distributed systems. Focus on building automated, source-of-truth-driven network architectures that support 100k+ accelerators.

Location: Must be based in or able to work from New York, NY; Austin, TX; San Francisco, CA; or Seattle, WA (Hybrid)

Salary: $202,000 – $261,000 + Equity

Company

hirify.global is building civilization-scale compute infrastructure to accelerate AI development and ensure models are aligned with human freedom.

What you will do

  • Own the end-to-end network design lifecycle from customer requirements to deployable architectures.
  • Produce topology designs, IP/addressing schemes, and routing policies for front-end, back-end, and storage networks.
  • Adapt network architectures to diverse GPU platforms including NVIDIA, AMD, and custom accelerators.
  • Translate logical designs into physical reality, including rack elevations, power constraints, and structured cabling.
  • Design lossless Ethernet fabrics for RDMA (RoCEv2) with a focus on congestion management and traffic classes.
  • Create HLDs, LLDs, cutsheets, and BOMs while leading design reviews.

Requirements

  • Must have the right to work in the United States.
  • Deep expertise in L1 to L3 networking: CLOS/fat-tree topologies, BGP, EVPN, and VXLAN.
  • Proven experience designing data center network fabrics from requirements through deployment.
  • Ability to design lossless RDMA (RoCEv2) fabrics and manage congestion at scale.
  • Strong ability to partner across Hardware, DC Operations, and Software teams.
  • Ability to reason from first principles to solve novel design challenges.

Nice to have

  • Experience with source-of-truth-driven design generation.
  • Experience with multi-vendor GPU platform integration.
  • Experience with large-cluster (100k+ accelerator) environments.

Culture & Benefits

  • Competitive total compensation including base salary and equity.
  • Comprehensive health, dental, and vision insurance.
  • Retirement or pension plan.
  • Generous PTO policy.
  • High-intensity, autonomous work environment focused on solving frontier AI infrastructure problems.

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