About The Position
Nscale is seeking a senior technical authority to lead the reliability, scalability, and long-term evolution of its high-performance Ethernet front-end networks for large-scale AI GPU clusters. These networks support inference traffic, cluster management, data ingress and egress, shared storage connectivity, long-haul circuits, and carrier handoffs. The role will shape architecture, standards, and operational practices across teams and address the most complex front-end networking challenges in the platform. The position owns the technical direction and operational strategy for front-end AI infrastructure networks. It designs and evolves large-scale Ethernet leaf-spine/Clos fabrics, establishes technical and operational standards, leads complex incident investigations, and drives improvements in reliability, performance predictability, observability, and operational maturity. The engineer partners with SRE, Compute Platform, Storage, and Network Architecture teams on end-to-end system design, and mentors senior and principal-level engineers.
Requirements
- 12+ years of network engineering experience, with a deep focus on hyperscale data centre, cloud, or AI infrastructure networking.
- Expert-level operational and architectural experience with large-scale Ethernet data centre fabrics using leaf-spine/Clos topologies.
- Strong hands-on production experience at scale with Arista (EOS/Etherlink) and/or Nokia platforms, including 7220 IXR, 7250 IXR, or 7750 SR series.
- Deep understanding of modern data centre routing and control planes, including BGP, OSPF, ECMP, and EVPN-VXLAN.
- Proven experience with long-haul circuits, DCI, and optical transport, including dark fiber, carrier Ethernet, coherent optics, and ZR/ZR+.
- Strong background in storage networking over Ethernet and shared storage connectivity at hyperscale.
- Ability to debug and resolve complex cross-layer issues involving hardware, optics, routing, and application layers.
- Ability to lead complex technical initiatives across teams and influence strategy without direct authority.
- Systems-level mindset that balances performance, reliability, scalability, and operational cost.
Nice To Haves
- Extensive experience with Arista or Nokia platforms at hyperscale or large AI infrastructure scale.
- Deep familiarity with front-end network design patterns for massive AI clusters, including inference, management, and storage tiers.
- Experience designing or operating large-scale DCI, long-haul optical, or carrier networks.
- Strong automation and tooling experience, including Python, Ansible, validation frameworks, and telemetry pipelines.
- Prior experience influencing platform or infrastructure strategy at significant scale.
Responsibilities
- Own the technical direction and operational strategy for Nscale’s front-end AI infrastructure networks.
- Design, review, and evolve large-scale Ethernet leaf-spine/Clos fabric architectures, including Arista and Nokia platforms, to support future growth, inference workloads, and storage requirements.
- Serve as the senior-most escalation point for complex front-end network incidents, guiding technical investigations and systemic fixes.
- Lead cross-team initiatives to improve fabric reliability, performance predictability, observability, and operational maturity at scale.
- Define standards for hardware configuration, routing, congestion management, firmware lifecycle management, automation, and change safety across Arista EOS and Nokia platforms.
- Partner with SRE, Compute Platform, Storage, and Network Architecture teams on end-to-end system design, including long-haul/DCI circuits and storage network integration.
- Mentor senior and principal-level network engineers and promote operational rigor and technical excellence.
- Drive measurable improvements in uptime, latency consistency, capacity efficiency, and incident reduction for front-end services.
Benefits
- Highly competitive base salary and equity package, with reviews every 12 months.
- Dynamic progression plan tailored to individual ambitions.
- Potential eligibility for bonus, equity, and/or commission programs.
- Potential competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
