Staff Network Automation Engineer for AI Infra

vCluster Labs

United States

Remote

USD 180.000 - 240.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Competitive salary
Premium insurance
Flexible schedule
Workplace flexibility

Zusammenfassung

vCluster Labs is seeking a Staff Network Engineer to design and implement automated fabric provisioning for NVIDIA switches and InfiniBand networks. You will own the control plane that keeps VLAN/VXLAN state aligned with the platform, and you will build L4 load balancing and NAT gateways with resilient failover from day one.

The role emphasizes production-grade automation, Go/Python code, and open collaboration with a CTO-led R&D team.

Qualifikationen

  • Candidate has shipped network automation software.
  • Experience with NVIDIA networking technologies and APIs (UFM, Spectrum, NVUE).
  • Strong understanding of InfiniBand, VLAN, VXLAN, EVPN and BGP in production.

Aufgaben

  • Fabric automation: design and build systems to provision and configure switches and InfiniBand fabrics.
  • Network config management and sync: maintain state, detect drift, and reconcile in production.
  • NAT gateway and L4 load balancing: build gateway and load balancing for tenant clusters with failover from day one.
  • Scale and failure engineering: define network behavior at large scale, convergence and failover.
  • Customer Zero for AI networking: run automation on real AI Cloud environments and translate learnings into product features.
  • Technical direction: help decide what to build vs integrate and write design/docs.

Kenntnisse

Network automation
NVIDIA networking
Fabric fundamentals
Production scale
Go/Python

Tools

NVIDIA UFM
InfiniBand
VXLAN

Jobbeschreibung

vCluster Labs is seeking a Staff Network Engineer to design and implement automated fabric provisioning for NVIDIA switches and InfiniBand networks. You will own the control plane that keeps VLAN/VXLAN state aligned with the platform, and you will build L4 load balancing and NAT gateways with resilient failover from day one.

The role emphasizes production-grade automation, Go/Python code, and open collaboration with a CTO-led R&D team.

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