AI Factory Network Architect

Job not on LinkedIn

🔥 22 minutes ago

🌐 United States, United Kingdom – Remote

🇺🇸 United States – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🛜 Network Engineer / Network Administrator

👻 Ghost score 25%

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Runware

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

🔌 API

📱 Media

Artificial Intelligence • API • Media

Runware is a flexible generative AI platform that specializes in high-quality media creation for images and videos through an affordable and fast API. It is capable of advanced tasks such as image generation, video inference, upscaling, and background removal, making it an essential tool for developers seeking to enhance their projects with AI technology. Powered by a custom Sonic Inference Engine™ and renewable energy, Runware ensures quick and efficient media generation without requiring complex infrastructure or machine learning expertise.

📋 Description

• Own end-to-end network architecture for the AI Factory, including NVLink/NVSwitch, InfiniBand/RoCE, storage, management, pod-to-pod, and inter-site networks • Design the optical layer, including transceivers, cabling, co-packaged and linear-drive optics, DWDM, link budgets, and reliability targets • Define the repeatable reference network design for Sonic Inference Pods • Build and bring up initial fabrics, including rail-optimized topologies, subnet management, routing, adaptive routing, congestion control, QoS, and GPUDirect RDMA tuning • Align topology and buffer decisions with inference traffic patterns such as collectives, KV-cache transfer, and multi-node serving • Lead capacity planning, vendor roadmaps, technical specifications, and fabric-generation evaluations • Establish telemetry, link-health monitoring, failure-domain design, automated fault isolation, and operational runbooks • Hire and lead network engineers as the infrastructure footprint grows • Serve as final technical escalation for fabric incidents across all sites • Collaborate with hardware, platform, inference engineering, NVIDIA, optical and switching vendors, carriers, and site deployment teams

🎯 Requirements

• 15+ years designing, building, and operating high-performance networks • Significant experience in HPC or AI supercomputers at the scale of thousands of GPUs or more • Deep hands-on InfiniBand experience, including fabric design, subnet management, routing engines, adaptive routing, congestion control, and port/queue-pair performance debugging • Working knowledge of NVLink and NVSwitch domains and scale-up/scale-out fabric interaction • Optical networking experience with 400G and 800G transceivers and cabling, link budgets, DWDM, and coherent optics • Hands-on RDMA experience across InfiniBand and RoCE, including GPUDirect, NCCL, collective behaviour, PFC, and ECN tuning • Track record leading network teams through greenfield builds and production incidents • Experience automating infrastructure with Python or Go, infrastructure as code, and telemetry pipelines • Clear technical writing skills • Willingness to travel to pod sites in the US and Europe • Strong differentiators include experience with NVIDIA Spectrum-X, Quantum-X800, Blackwell-generation NVLink systems, co-packaged optics, linear-drive pluggables, photonic switching, modular/containerized data centers, inference-specific traffic patterns, SONiC, OpenFabrics, UEC, sovereign/data-residency network designs, and GPU cloud, hyperscaler, national lab, or AI lab environments

🏖️ Benefits

• Remote-first work arrangement • In-person company retreats twice a year • Flexible core hours and control over schedule outside collaboration blocks • Real downtime after major release cycles • Generous paid time off: vacation, sick days, public holidays • Meaningful stock options • Paid maternity, paternity, and caregiver leave

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