Network Engineer

About Nscale

Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.

We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future.

About The Role

The Network Operations and Engineering teams at Nscale operate some of the most demanding networking environments in the industry, supporting large-scale AI GPU clusters where network performance directly impacts customer outcomes.

We’re looking for a Senior Principal Front End Network Engineer – AI Infrastructure to provide technical leadership across Nscale’s front-end networking domain.

This role is focused on owning the reliability, scalability, and long-term evolution of our high-performance Ethernet front-end networks. These networks support inference traffic, cluster management, data ingress/egress, shared storage connectivity, long-haul circuits, and carrier handoffs. You will operate as a senior technical authority, influencing architecture, standards, and operational practices across teams while tackling the most complex front-end network challenges in the platform.

What You'll Be Doing

• Owning the technical direction and operational strategy for Nscale’s front-end AI infrastructure networks at the highest level
• Designing, reviewing, and evolving large-scale Ethernet leaf-spine / Clos fabric architectures (including Arista and Nokia platforms) to support future growth, inference workloads, and storage requirements
• Acting as the senior-most escalation point for the most complex front-end network incidents, guiding deep technical investigations and systemic fixes
• Driving cross-team and cross-functional initiatives to improve fabric reliability, performance predictability, observability, and operational maturity at scale
• Defining standards for hardware configuration, routing, congestion management, firmware lifecycle management, automation, and change safety across Nvidia Cumulus, Arista EOS and Nokia platforms
• Partnering with SRE, Compute Platform, Storage, and Network Architecture teams to influence end-to-end system design, including long-haul/DCI circuits and storage network integration