Posted today · be early

Staff Network Engineer (AI Infrastructure)

vCluster Labs

WorldwideremotePosted today
vCluster Labs logo

Skill Required

Staff-Network-EngineerSenior-Network-Infrastructure-EngineerNetwork-Infrastructure-EngineerNetwork-EngineerAI EngineerInfrastructure EngineerNetwork EngineerAIsoftware engineeringNginxEngineeringR ProgrammingKubernetesSalesforcenetworkingautomationbuildingPythondesignGitOpenAPILinuxCloudAPIsNode.jsDNSandGoMachine LearningFulltime

Key highlights

  • Compensation range: €70K - €130K
  • Requires production‑scale network experience
  • Competitive compensation package, including equity
  • Remote‑first culture and flexible schedule
  • Experience with NVIDIA UFM or Spectrum/Quantum switches
  • Software engineering in Go or Python

Role overview

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.

Responsibilities

  • 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 NAT gateway and L4 load balancing layer that 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 responses to link, switch, or gateway failures under real AI workloads
  • Run automation on real AI Cloud environments, identify issues, and translate operational lessons into product behavior for customers
  • Help decide what to build versus integrate with partner solutions, write design and requirements documents, and set standards for networking across vCluster products

Requirements

  • Built network automation, not just operated networks: shipped software that programmatically configures switches, routers, or load balancers, ideally as part of a product or internal platform other teams relied on
  • 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 and EVPN, and BGP, including how they behave and fail at production scale
  • Run networks at real production scale, observed failures, and fixed root causes with automation rather than runbooks
  • Write production code in Go or Python, use version control and code review as a matter of course, and treat 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
  • Background building 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

Benefits

  • Competitive compensation package, including equity
  • Premium health, dental, vision, and life insurance for you and eligible dependents
  • Flexible working schedule that prioritizes results over clock‑in/out
  • Workplace flexibility: work from any location
  • Remote‑first culture with distributed team

Additional details

  • We are a venture‑backed startup that raised over $28M from top‑tier investors including Khosla Ventures
  • Headquarters in San Francisco (Salesforce Tower) with a distributed global team
  • We power over 100,000 GPUs and 1 million CPUs across 50+ AI clouds and Fortune 500 companies
  • Open source DNA: vCluster and Infrastructure Tenancy Platform for AI, NVIDIA‑validated reference architecture for DGX systems
  • Culture & Values: Make it Happen, Own the Outcome, Create Wow, Open Source, Open Mind, Build Tomorrow’s Standards, Intentionally
  • Originally posted on Himalayas
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