Nscale
Technology
NetworkFront-EndEngineer,AIInfrastructureOperations
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Network Front-End Engineer, AI Infrastructure Operations at Nscale”
Industry & Context.
How You'll Work.
Team & Collaboration
Architecture teams; Operations teams; Deployment teams
Full Job Description
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. At Nscale, our Engineering team plays a critical role in driving the deployment and subsequent management of our infrastructure and software platforms. 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 (Job Purpose) The Network Engineering Team is responsible for the design, deployment, and ongoing operation of all front-end networking services that underpin both the internal management platform and the customer-facing cloud infrastructure. This includes high-speed Ethernet data centre fabrics, internet transit, WAN/long-haul connectivity, and data centre networking. The team acts as a 3rd/4th line escalation point for the support organisation. What You’ll Be Doing (Responsibilities) Designing, deploying, and operating high-speed Ethernet-based front-end networks (data centre fabrics, management networks, inference traffic paths, and storage connectivity) Working with deployment teams to ensure BOMs are correct and fit for purpose, with strong focus on optics, cabling, and hardware selection Providing input into DC layout, rack elevations, and reference architectures to ensure front-end networks are implemented correctly and scalably Troubleshooting performance and connectivity
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