Principal Network Architect- AI Infrastructure

What We Can Offer You

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

• Highly competitive package (base + equity) with reviews every 12 months. 🚀


• Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI. ✨


• Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support. 


• Human-First Flexibility: We treat you as humans first. 🫶🏽 Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.

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.

Role Overview

Nscale is seeking a Network Architect Engineer to lead the evolution, reliability, and operational excellence of our global AI networking infrastructure. This role sits at the core of Nscale’s platform, where network performance directly impacts AI training outcomes. You will act as a technical authority across large-scale RDMA / Infiniband / RoCE fabrics, driving automation, availability improvements, and system-level design across a globally distributed GPU cloud. You will combine deep network protocol-level networking expertise with strong software and automation skills to operate and scale one of the most demanding AI networking environments in the industry.

What You’ll Do

Technical Leadership & Strategy

• Own the technical direction and operational lifecycle management of Nscale’s high-performance RDMA network fabrics


• Define long-term architecture, reliability strategy, and operational standards for AI interconnect networks


• Lead availability and performance improvement initiatives across globally distributed GPU clusters


• Act as a technical authority (SME) across networking, influencing platform-wide decisions

Network Engineering & Operations

• Support design, build, and evolve large-scale Infiniband and RoCE fabrics


• Drive deep debugging and resolution of complex cross-layer issues (hardware, firmware, kernel, distributed workloads)


• Lead incident response and postmortems, ensuring systemic fixes and long-term improvements


• Define and enforce standards across:


• Congestion control and traffic engineering


• Routing (BGP, ECMP, fabric-level routing strategies)


• Firmware lifecycle and change management


• Network observability and telemetry

Automation & Systems Development

• Develop and scale automation frameworks for network provisioning, validation, and operations


• Build tooling to support high-reliability, low-touch network operations at scale


• Improve operational efficiency across hundreds of thousands of endpoints and high-throughput links

Cross-Functional Leadership

• Lead complex technical initiatives across Network, SRE, Compute, and Platform teams


• Serve as technical lead on critical programs, coordinating engineers and stakeholders


• Influence product and infrastructure roadmaps based on operational insights and customer needs


• Mentor senior engineers and raise the bar for technical rigor and execution

What We’re Looking For

Core Experience

• 10+ years of experience in network engineering in hyperscale, AI, or HPC environments


• Deep expertise in RDMA, Infiniband, and/or large-scale RoCE fabrics


• Strong understanding of:


• RDMA internals and performance tuning


• Congestion control and fabric failure modes


• Distributed system communication patterns

Technical Skills

• Expert-level knowledge of data center networking protocols (BGP, OSPF, ECMP)


• Proven ability to debug multi-layer issues across network, system, and application layers


• Strong programming/scripting skills for automation (Python, Go, etc.)


• Experience designing high-scale, highly available network systems

Leadership & Impact

• Demonstrated ability to lead complex technical programs without direct authority


• Experience acting as a senior escalation point for critical production issues


• Strong ability to drive cross-team alignment and execution


• Systems-level thinking balancing performance, reliability, scalability, and cost

Nice to Have

• Experience with NVIDIA / Mellanox networking platforms


• Familiarity with distributed AI training frameworks and GPU communication patterns


• Experience building network observability systems at scale


• Background influencing infrastructure strategy in high-growth environments

Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work.

Equal Opportunities Statement

We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.

If there’s anything we can do to accommodate your specific situation, please let us know.

The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.

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