Staff Network Engineer (AI Infrastructure)

Responsibilities

• 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.
• 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.
• 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.
• AI Cloud or hyperscaler background: You helped build network automation at a GPU cloud, hyperscaler, or large CDN.
• Load balancer and gateway internals: Experience building L4 load balancers or NAT gateways, including with eBPF/XDP or DPDK.
• We're the #1 platform for AI infrastructure, trusted by the world's fastest-growing AI cloud builders. We're a venture-backed startup that's raised over $28M from top-tier investors including Khosla Ventures (first investor in OpenAI, GitLab, Stripe, and DoorDash), and we're in a hyper-growth phase looking for motivated people to join our team. Our headquarters are in San Francisco (Salesforce Tower), but our team is distributed around the globe with a remote-first culture.
• We give AI Cloud providers and AI factories a hyperscaler-like experience on their own GPU infrastructure. Our platform runs the full stack an operator needs, from bare metal provisioning and node lifecycle management up through managed Kubernetes, Slurm, Ray, and inference clusters, so they can turn raw GPUs into cluster products they can sell in days instead of spending 12+ months building it themselves. Today we power over 100,000 GPUs and 1 million CPUs across 50+ AI clouds and Fortune 500 companies, backed by a team of 40+ infrastructure engineers who build alongside our customers rather than just shipping them software.
• We're the company behind vCluster, the open source technology for tenant isolation on Kubernetes, with 11,000+ GitHub stars and 40M+ tenant clusters created since 2021. Open source is part of our DNA. At KubeCon North America 2025, we launched our Infrastructure Tenancy Platform for AI, a Kubernetes-native framework built for running AI, ML, and GPU-intensive workloads anywhere, with an NVIDIA-validated reference architecture for DGX systems.

Languages

Nice to have

• AI networking depth
• Open source: Contributions to networking or Kubernetes projects such as SONiC, FRRouting, Cilium, or MetalLB.
• We're the #1 platform for AI infrastructure, trusted by the world's fastest-growing AI cloud builders. We're a venture-backed startup that's raised over $28M from top-tier investors including Khosla Ventures (first investor in OpenAI, GitLab, Stripe, and DoorDash), and we're in a hyper-growth phase looking for…
• We're the company behind vCluster, the open source technology for tenant isolation on Kubernetes, with 11,000+ GitHub stars and 40M+ tenant clusters created since 2021. Open source is part of our DNA. At KubeCon North America 2025, we launched our Infrastructure Tenancy Platform for AI, a Kubernetes-native framework…
• Hands-on work with NVIDIA UFM, NVIDIA Spectrum or Quantum switches, Cumulus Linux, or NVUE, including programming against their APIs.

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