Staff Front-End Network Engineer

Nscale — Houston, Texas, United States · In-Person · Staff+

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Role description

Role Overview

The Staff Front-End Network Engineer will provide deep technical leadership within Nscale's front-end networking domain, owning and evolving the reliability, scalability, and operational excellence of high-performance Ethernet front-end networks. The role focuses on designing, reviewing, and evolving large-scale Ethernet leaf-spine / Clos fabric architectures to support growth, inference workloads, and storage requirements.

What You Will Do

The Staff Front-End Network Engineer will lead technical direction and operational improvements for Nscale's front-end AI infrastructure networks, design and review large-scale Ethernet leaf-spine / Clos fabric architectures, and serve as a senior escalation point for complex front-end network incidents.

Why It Might Be a Fit

The ideal candidate will have 10–12+ years of experience in network engineering, with a strong focus on hyperscale data center, cloud, or AI infrastructure networking, and a proven ability to lead technical initiatives across teams and influence outcomes without formal authority.

Requirements

  • 10–12+ years of experience in network engineering
  • Deep hands-on experience with large-scale Ethernet data center fabrics (leaf-spine / Clos topologies)
  • Strong production expertise with Nvidia (Cumulus), Arista EOS, and/or Nokia platforms at scale
  • Solid understanding of data center routing and control planes (BGP, OSPF, ECMP, EVPN-VXLAN)
  • Experience with long-haul circuits, DCI, and optical transport (dark fiber, carrier Ethernet, coherent optics, ZR/ZR+)
  • Strong understanding of storage networking over Ethernet in large-scale environments
  • Ability to debug and resolve complex cross-layer issues across hardware, optics, routing, and application layers
  • Proven ability to lead technical initiatives across teams and influence outcomes without formal authority
  • Strong systems thinking, balancing performance, reliability, scalability, and operational efficiency

Benefits

  • Highly competitive package (base + equity) with annual reviews
  • Opportunity to join a fast-growing AI infrastructure company and work on cutting-edge systems
  • Flexible benefits including medical, dental, vision, PTO, parental leave, and retirement plans

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