Staff Front-End Network Engineer

About the Position

We are seeking a Staff Front-End Network Engineer – AI Infrastructure to join our team and provide deep technical leadership within Nscale’s front-end networking domain.

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. Our GPU cloud strengthens technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.

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 Staff Front End Network Engineer – AI Infrastructure to provide deep technical leadership within Nscale’s front-end networking domain. This role focuses on owning and evolving the reliability, scalability, and operational excellence of our high-performance Ethernet front-end networks.

Responsibilities

• Leading technical direction and operational improvements for Nscale’s front-end AI infrastructure networks within your domain
• Designing, reviewing, and evolving large-scale Ethernet leaf-spine / Clos fabric architectures (Arista and Nokia platforms) to support growth, inference workloads, and storage requirements
• Serving as a senior escalation point for complex front-end network incidents and driving deep technical root cause analysis and remediation
• Driving cross-team initiatives to improve fabric reliability, performance consistency, observability, and operational maturity
• Defining and evolving engineering standards for hardware configuration, routing, congestion management, firmware lifecycle, 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 DCI and storage networking integration
• Mentoring senior engineers and contributing to the growth of technical excellence across the organization
• Delivering measurable improvements in uptime, latency consistency, capacity efficiency, and incident reduction for front-end services

Requirements

• 10–12+ years of experience in network engineering, with a strong focus on hyperscale data center, cloud, or AI infrastructure networking
• 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

Nice to Have

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

We Offer

At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions create real impact. We're building something extraordinary, and we want you at the core.

• Highly competitive package (base + equity) with annual reviews
• Opportunity to join a fast-growing AI infrastructure company and work on cutting-edge systems
• A progression path tailored to your growth, with opportunities to lead, innovate, and expand your technical scope
• Flexible benefits including medical, dental, vision, PTO, parental leave, and retirement plans

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