170K–210K USD / year
Staff Network Engineer (AI Infrastructure)
DevOpsRemote — United States, Canada
Published on 2026-11-02
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About this role
Build network automation and control systems for AI cloud infrastructure. You’ll provision and manage high-speed Ethernet and InfiniBand fabrics, gateways, and load balancing, while defining how the network scales and handles failures.
About the company
vCluster Labs builds virtual Kubernetes clusters that let platform teams create isolated environments on top of shared clusters for engineering and AI workloads.
Stack
NVIDIA UFMNVIDIA SpectrumNVIDIA QuantumCumulus LinuxNVUEInfiniBandVLANVXLAN
What you'll do
- Automate provisioning and configuration of NVIDIA switches and InfiniBand fabrics.
- Build network configuration synchronization and drift-reconciliation systems.
- Develop resilient NAT gateway and L4 load-balancing capabilities.
- Define network scaling, convergence, and failure behavior for production workloads.
- Test automation in live AI cloud environments and turn operational learnings into product improvements.
- Set networking technical direction and write design and requirements documents.
What we're looking for
- Experience building and shipping software that programmatically configures network devices.
- Hands-on experience with NVIDIA networking products and APIs.
- Strong knowledge of InfiniBand, VLAN, VXLAN, EVPN, and BGP at production scale.
- Experience operating large production networks and addressing failures through automation.
- Production coding ability in Go or Python.
Nice to have
- Experience tuning fabrics for GPU training or inference, including RoCEv2, congestion control, or rail-optimized topologies.
- Background building network automation 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 open-source projects.
Benefits
- Equity and bonus
- Health, dental, vision, and life insurance, with eligible dependent coverage
- Flexible working schedule and workplace