Staff Network Engineer – AI Infrastructure

🔥 0 minutes ago

🇪🇺 Europe – Remote

💵 €70k - €130k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 11%

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vCluster

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🏢 Enterprise

💰 $24M Series A on 2024-05

SaaS • Enterprise

vCluster is a Kubernetes virtualization product (from loft-sh) that creates virtual Kubernetes clusters on top of existing Kubernetes infrastructure. It enables dedicated, multi-tenant or private-node clusters for use cases like internal platform standardization, hybrid Kubernetes deployments, sovereign or dedicated customer environments, AI cloud providers and distributed inference. vCluster is positioned as a tooling/product solution for enterprises operating Kubernetes at scale, offering managed features, releases and integrations for internal K8s platforms and cloud-native workflows.

📋 Description

• Design and build systems that automatically provision and configure NVIDIA switches and InfiniBand fabrics, including integration with NVIDIA UFM • Build the control loop that keeps switch, VLAN, and VXLAN state consistent with platform intent, detects drift, and safely reconciles it in production • Build the NAT gateway and L4 load-balancing layer for tenant-cluster connectivity, including failover • Define network-layer behavior at large scale, including BGP route-table limits, convergence, failover, and link, switch, or gateway failures • Run automation on real AI Cloud environments, identify failures, and turn operational lessons into product behavior • Help decide what to build versus integrate with partner solutions • Write design and requirements documentation • Set standards for networking across vCluster products • Work alongside the CTO and a small R&D group, growing into ownership of the area

🎯 Requirements

• Experience building network automation that configures switches, routers, or load balancers programmatically • Hands-on experience with NVIDIA UFM, NVIDIA Spectrum or Quantum switches, Cumulus Linux, or NVUE, including programming against their APIs • Strong command of InfiniBand, VLAN, VXLAN and EVPN, and BGP • Experience running networks at real production scale and fixing root causes with automation • Production coding experience in Go or Python • Use of version control and code review • Experience tuning fabrics for GPU training or inference workloads, such as RoCEv2, congestion control, rail-optimized topologies, or Spectrum-X • Experience at a GPU cloud, hyperscaler, or large CDN • Experience building L4 load balancers or NAT gateways, including with eBPF/XDP or DPDK • Contributions to networking or Kubernetes projects such as SONiC, FRRouting, Cilium, or MetalLB

🏖️ Benefits

• Equity • Bonus • Health, dental, vision, and life insurance for you and eligible dependents (benefits vary depending on country) • Flexible working schedule • Workplace flexibility • Remote-first culture

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