Give every tenant their own isolated Kubernetes cluster. Built for AI Cloud Providers, AI factories, and multi-cloud Kubernetes platforms running production AI infrastructure. Backed by Berkeley SkyDeck.
About the 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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
- Deep fabric fundamentals: Strong command of InfiniBand, VLAN, VXLAN and EVPN, and BGP, including how they behave and fail at production scale
- Production scale scars: You have run networks at real production scale, seen them break, and helped fix the root cause with automation rather than runbooks
- Software engineering ability: You write production code in Go or Python, use version control and code review as a matter of course, and think of network config as code
More 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.
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...
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