Staff Network Engineer (AI Infrastructure)
Level inferred from job title
Job description
Staff Network Engineer at vCluster Labs responsible for building automation that provisions and configures NVIDIA switches and InfiniBand fabrics for AI cloud environments. The role starts in a small R&D group alongside the CTO and grows into owning network automation as a core platform area.
At a glance
- Work mode
- Remote
What you'll do
- 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 reconciles it safely in production
- Build the gateway and L4 load balancing layer tenant clusters depend on for connectivity, with failover designed in from day one
- Define how the network layer behaves at large scale: BGP route table limits, convergence, failover, and failure behavior under real AI workloads
- Run automation on real AI Cloud environments, bring back what breaks, and turn operational lessons into product behavior
- Help decide what to build versus integrate with partner solutions, write design and requirements docs, and set networking standards across vCluster products
What we're looking for
- Built network automation, not just operated networks: shipped software that configures switches, routers, or load balancers programmatically, ideally as part of a product or internal platform other teams relied on
- Hands-on work 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, including how they behave and fail at production scale
- Ran networks at real production scale, seen them break, and helped fix the root cause with automation rather than runbooks
- Write production code in Go or Python, use version control and code review, and think of network config as code
Nice to have
- Experience tuning fabrics for GPU training or inference workloads, such as RoCEv2, congestion control, rail-optimized topologies, or Spectrum-X
- Helped build network automation 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
Your team
small R&D group
Small R&D group alongside the CTO
Benefits
- Competitive Salary
Apply
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About vCluster Labs
The #1 platform for AI infrastructure
Venture-backed startup that gives AI Cloud providers and AI factories a hyperscaler-like experience on their own GPU infrastructure. Its 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. The company is behind vCluster, the open source technology for tenant isolation on Kubernetes.
Key facts
- 40+ infrastructure engineers
- San Francisco (Salesforce Tower)
- AI infrastructure
- Raised over $28M from top-tier investors including Khosla Ventures
- Powers over 100,000 GPUs and 1 million CPUs across 50+ AI clouds and Fortune 500 companies
- VCluster has 11,000+ GitHub stars and 40M+ tenant clusters created since 2021
- Launched Infrastructure Tenancy Platform for AI at KubeCon North America 2025, with an NVIDIA-validated reference architecture for DGX systems
- Remote-first culture with a distributed team around the globe
Partners & customers
What they value
- Open source is part of our DNA
- Build alongside our customers rather than just shipping them software