Staff Frontend Network Engineer (AI Infrastructure)

Location: Houston, New York, San Francisco, Seattle, US

Company

Nscale provides GPU cloud infrastructure for AI startups and enterprise customers, focusing on high-performance, cost-effective systems for AI development.

What you will do

• Lead the technical direction and operational improvements of front-end networks supporting large-scale AI GPU clusters.
• Design, review, and evolve Ethernet leaf-spine and Clos fabric architectures across Arista and Nokia platforms.
• Act as a senior escalation point for complex network incidents, driving root-cause analysis and remediation.
• Improve fabric reliability, performance consistency, observability, capacity efficiency, and incident reduction.
• Define standards for hardware configuration, routing, congestion management, firmware lifecycle, automation, and change safety across Nvidia Cumulus, Arista EOS, and Nokia platforms.
• Partner with SRE, Compute Platform, Storage, and Network Architecture teams while mentoring senior engineers.

Requirements

• 10–12+ years of network engineering experience focused on hyperscale data center, cloud, or AI infrastructure networking.
• Deep hands-on experience with large-scale Ethernet data center fabrics and leaf-spine or Clos topologies.
• Production expertise with Nvidia Cumulus, Arista EOS, and/or Nokia platforms.
• Strong understanding of BGP, OSPF, ECMP, EVPN-VXLAN, data center routing, and control planes.
• Experience with long-haul circuits, DCI, optical transport, storage networking over Ethernet, and cross-layer troubleshooting.
• Ability to lead cross-team technical initiatives and influence outcomes without formal authority.

Nice to have

• Experience operating Arista, Nokia, or Nvidia networking platforms at hyperscale.
• Familiarity with AI infrastructure network patterns for inference, management, and storage tiers.
• Experience with DCI, long-haul optical, or carrier network design and operations.
• Automation experience with Python, Ansible, telemetry pipelines, or validation frameworks.
• Experience contributing to infrastructure strategy or large-scale platform improvements.

Culture & Benefits

• Collaborative, supportive, and innovation-focused working environment.
• Base compensation plus equity with annual reviews.
• Growth path with opportunities to lead, innovate, and expand technical scope.
• Medical, dental, and vision benefits, PTO, parental leave, and retirement plans.