Staff Network Engineer automating NVIDIA and InfiniBand fabrics for vCluster Labs. Building networking control loops, gateways, and load balancing for AI cloud GPU infrastructure.
Responsibilities
Design and build systems that automatically provision and configure NVIDIA switches and InfiniBand fabrics, including NVIDIA UFM integration
Build network configuration control loops that keep switch, VLAN, and VXLAN state consistent, detect drift, and safely reconcile it in production
Build NAT gateway and L4 load-balancing layers with failover
Define network-layer behavior at scale, including BGP route-table limits, convergence, failover, and infrastructure failures
Run automation on real AI Cloud environments and turn operational lessons into product behavior
Decide what to build versus integrate with partner solutions
Write design and requirements documents
Set networking standards across vCluster products
Collaborate with the CTO and a small R&D group, growing into ownership of the networking area
Requirements
Experience building network automation that programmatically configures switches, routers, or load balancers
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, 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 open-source projects such as SONiC, FRRouting, Cilium, or MetalLB
Authorization to work in the US for vCluster Labs
Benefits
Equity
Bonus
Health, dental, vision, and life insurance for you and eligible dependents
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