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€70к-130к/год
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Крутая вакансия
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Задачи чётко сосредоточены на автоматизации AI-сетей и дают заметную техническую ответственность в быстрорастущей сфере; главный компромисс - работа в небольшой стартап-команде.
?Ответственность в стартапе
Инфраструктура для AI
Современные технологии
Гибкие условия
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Network Engineer (AI Infrastructure) (InfiniBand/NVIDIA networking): Building automation for provisioning high-speed AI Cloud network fabrics, configuration management, NAT gateways, and L4 load balancing with an accent on InfiniBand, NVIDIA switches, and production-scale reliability. Focus on designing failure-aware networking, reconciling configuration drift, and turning real AI workload incidents into platform behavior.
Location: EMEA; remote
Salary: €70K–€130K annually, plus equity and bonus
Company
hirify.global Labs is a venture-backed AI infrastructure startup building a platform that gives AI Cloud providers a hyperscaler-like experience on their own GPU infrastructure, including bare-metal provisioning, node lifecycle management, Kubernetes, Slurm, Ray, and inference clusters.
What you will do
Design and build automation for provisioning and configuring NVIDIA switches and InfiniBand fabrics, including NVIDIA UFM integration.
Build control loops that synchronize switch, VLAN, and VXLAN state, detect configuration drift, and reconcile it safely in production.
Develop NAT gateway and L4 load-balancing layers with failover for tenant clusters.
Define network behavior at scale, including BGP route limits, convergence, failover, and link, switch, or gateway failures under AI workloads.
Run automation in real AI Cloud environments and turn operational findings into product behavior.
Set technical direction, write design and requirements documents, and establish networking standards across hirify.global products.
Requirements
Experience shipping network automation software that programmatically configures switches, routers, or load balancers.
Hands-on experience with NVIDIA UFM, 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.
Production programming experience in Go or Python, with version control, code review, and infrastructure-as-code practices.
Nice to have
AI networking experience with 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 team with flexible working hours and a results-focused schedule.
Health, dental, vision, and life insurance for employees and eligible dependents, varying by country.
Competitive compensation package with equity and bonus opportunities.
Open-source culture, meritocratic decision-making, and ownership of outcomes.
Work alongside customers and help define standards for mission-critical AI infrastructure.
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