EU remote
Staff Network Engineer (AI Infrastructure)
About this role
As a Staff Network Engineer at vCluster Labs , you aren't just configuring switches; you are building the automation logic that configures them. AI Clouds run on InfiniBand and high-speed Ethernet fabrics that most teams still wire up by hand, one customer at a time. You will build the automation that turns that fabric into repeatable provisioning logic. You start in a small R&D group alongside our CTO and grow into owning this area as it becomes a core part of our platform.
As a Staff Network Engineer, your role will include: Fabric automation: You will design and build the systems that automatically provision and configure NVIDIA switches and InfiniBand fabrics, including integration with NVIDIA UFM. Manual, per-customer switch setup is the thing you are replacing. Network config management and sync: You will build the control loop that keeps switch, VLAN, and VXLAN state consistent with what our platform intends, detects drift, and reconciles it safely in production.
NAT gateway and L4 load balancing: You will build the gateway and load balancing layer that tenant clusters depend on for connectivity, with failover designed in from day one rather than bolted on later. Scale and failure engineering: You will define how our network layer behaves at large scale: BGP route table limits, convergence, failover, and what happens when a link, switch, or gateway dies under real AI workloads.
Customer Zero for AI networking: You will run your automation on real AI Cloud environments, bring back what breaks, and turn hard-won operational lessons into product behavior our customers never have to think about. Technical direction: You will help decide what we build versus integrate with partner solutions, write the design and requirements docs, and set the standards for how networking works across vCluster products.
This role could be a fit for you if you bring: You have built network automation, not just operated networks: You have shipped software that configures switches, routers, or load balancers programmatically, ideally as part of a product or internal platform other teams relied on. NVIDIA networking experience: Hands-on work with NVIDIA UFM, NVIDIA Spectrum or Quantum switches, Cumulus Linux, or NVUE, including programming against their APIs.