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 .

We are seeking a Network Architect Engineer to design, build and own the networking of our next-generation AI/HPC compute infrastructure, and of the meshed clusters these systems form. The role spans two connected worlds: the high-performance fabric inside the compute infrastructure (GPU/HPC interconnect,

low-latency traffic) and the distributed network between geographically dispersed sites (a sovereign, resilient mesh across multiple locations). You will define the network architecture end to end, and you will be hands-on implementing, validating, and operating it. You will define how our compute infrastructure connects its GPUs, storage and management systems, how distributed sites communicate with each other, and how the infrastructure connects to the outside world. Your architecture will directly influence every system and cluster we deploy.
You will own the network design and architecture of our first-generation compute infrastructure, evolving it into a production-ready system. This starts with a working intra-system fabric (compute/GPU interconnect, storage and management/out-of-band networks) and an initial inter-site interconnect validated in the lab, driving technology selection (

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