Senior Front-End Network Architect for AI Infrastructure

Nscale

Houston (TX)

On-site

USD 150,000 - 260,000

Full time

3 days ago
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Benefits offered by this job

Equity
Medical benefits
Retirement plan
Flexible paid time off
Parental leave

Job summary

Nscale in Houston, TX is seeking a Senior Principal Front End Network Engineer – AI Infrastructure to lead reliability, scalability, and evolution of high-performance Ethernet front-end networks for AI workloads.

You will architect leaf-spine/Clos fabrics (Arista and Nokia platforms, with Nvidia Cumulus) to support inference, management, and storage traffic while mentoring engineers and guiding cross-team initiatives to improve uptime and performance at scale.

Qualifications

  • 12+ years of experience in network engineering focused on hyperscale data centers or AI infrastructure.
  • Expert-level operational and architectural experience with large-scale Ethernet fabrics (leaf-spine/Clos).
  • Strong hands-on experience with Nvidia Cumulus, Arista EOS/Etherlink and Nokia platforms at scale.

Responsibilities

  • Own the technical direction and strategy for front-end AI infrastructure networks.
  • Design and evolve large-scale Ethernet leaf-spine/Clos fabrics to support growth and workloads.
  • Escalate and guide deep technical investigations for complex network incidents.
  • Lead cross-team initiatives to improve fabric reliability, observability, and maturity.
  • Define standards for configuration, routing, firmware, automation, and change safety.
  • Collaborate with SRE, Compute, Storage, and Network Architecture teams on end-to-end design.
  • Mentor senior/principal network engineers and raise operational rigor.
  • Drive improvements in uptime, latency, and capacity while reducing incidents.

Skills

12+ years experience
systems-level mindset
leadership without authority

Tools

Nvidia Cumulus
Arista EOS/Etherlink
Nokia 7220 IXR/7250 IXR/7750 SR

Job description

Nscale in Houston, TX is seeking a Senior Principal Front End Network Engineer – AI Infrastructure to lead reliability, scalability, and evolution of high-performance Ethernet front-end networks for AI workloads.

You will architect leaf-spine/Clos fabrics (Arista and Nokia platforms, with Nvidia Cumulus) to support inference, management, and storage traffic while mentoring engineers and guiding cross-team initiatives to improve uptime and performance at scale.

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