Network Architect Engineer
Pubblicato il 11-10-2026 - Stealth Startup in Milano
About Us
We are an early-stage technology company operating at the intersection of
About Us
We are an early-stage technology company operating at the intersection of Energy and AI infrastructure , focused on developing a new generation of efficient and scalable computing infrastructure.
Our approach combines distributed computing, modular infrastructure and energy efficiency to support the rapidly growing demand for AI and high-performance computing.
The company is developing a new model for deploying compute capacity in a flexible and scalable way, with a strong focus on efficiency, sustainability, reliability and responsible infrastructure development .
This is an opportunity to join a growing team at an early stage and contribute directly to the development of a new infrastructure platform, working at the intersection of power, data centers and advanced computing .
Position Type
Part of the Engineering team, reporting to the CTO. Senior role and network design authority, with the Datacenter & HPC Fabric Engineer reporting to you
Role Overview
We are seeking a Lead Network Engineer to own the network between our Pods: self-contained, outdoor-deployable AI/HPC compute systems meshed into sovereign clusters across dispersed sites. You will own the inter-pod network, the connectivity of the workloads running on our Kubernetes platform, and network automation, and set the overall network architecture, while a dedicated Fabric Engineer owns the high-performance network inside the pod. Our lab already runs an encrypted mesh between sites with cellular and satellite backup: these are current choices, not dogma, and we expect you to challenge them.
What You Will Deliver
This is a high-impact, high-ownership role: your design will ship in every unit and every cluster we deploy.
In your first year: You will take the inter-pod network, the cluster networking, and the network automation from lab to production, then validate a multi-pod sovereign mesh on real field deployments