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2 дня назад

Staff Network Engineer (AI Infrastructure)

170 000 - 210 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff Network Engineer (AI Infrastructure) (InfiniBand/NVIDIA networking): Building automation for NVIDIA switches, InfiniBand fabrics, network configuration synchronization, NAT gateways, and L4 load balancing with an accent on production-scale AI networking and failure handling. Focus on designing control loops, fabric provisioning, route convergence, failover, and network behavior under large AI workloads.

Location: Remote in the United States or Canada

Salary: United States: $170K–$210K; Canada: CA$180K–CA$210K. Equity and bonus offered.

Company

hirify.global Labs is a venture-backed AI infrastructure startup building a platform that helps AI cloud providers operate GPU infrastructure, Kubernetes, Slurm, Ray, and inference clusters. The company develops the open-source hirify.global technology for Kubernetes tenant isolation.

What you will do

  • Design and build automation for provisioning and configuring NVIDIA switches and InfiniBand fabrics, including NVIDIA UFM integration.
  • Build the control loop that synchronizes switch, VLAN, and VXLAN state, detects drift, and safely reconciles production changes.
  • Develop NAT gateway and L4 load-balancing infrastructure with built-in failover.
  • Define network behavior at scale, including BGP route limits, convergence, failover, and link, switch, or gateway failures.
  • Operate networking automation in AI Cloud environments and turn operational findings into product behavior.
  • Set technical direction, write design and requirements documents, and define networking standards across hirify.global products.

Requirements

  • Experience shipping software that programmatically configures switches, routers, or load balancers, ideally for a product or internal platform.
  • Hands-on experience with NVIDIA UFM, NVIDIA Spectrum or Quantum switches, Cumulus Linux, or NVUE, including their APIs.
  • Strong knowledge of InfiniBand, VLAN, VXLAN, EVPN, and BGP, including production-scale failure behavior.
  • Experience operating production-scale networks and resolving root causes through automation rather than runbooks.
  • Production software engineering skills in Go or Python, with regular use of version control and code review.

Nice to have

  • AI networking experience involving GPU training or inference workloads, RoCEv2, congestion control, rail-optimized topologies, or Spectrum-X.
  • Network automation experience at a GPU cloud, hyperscaler, or large CDN.
  • Experience building L4 load balancers or NAT gateways with eBPF/XDP or DPDK.
  • Contributions to networking or Kubernetes projects such as SONiC, FRRouting, Cilium, or MetalLB.

Culture & Benefits

  • Remote-first, distributed work environment with flexible working hours and location flexibility.
  • Health, dental, vision, and life insurance for employees and eligible dependents, with benefits varying by country.
  • Equity and bonus opportunities alongside the salary package.
  • Culture focused on ownership, measurable outcomes, open source, technical excellence, and intentional development of infrastructure standards.

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