
GPU/AI infrastructure deployment & ops engineer
Radian Arc · Europe - remote
Applications are made on Radian Arc's own site. We never sit in the middle.
Job description
About Radian Arc. We’re specialists in outcome-optimized AI infrastructure - deploying, orchestrating and monetizing GPU compute where data, users and demand actually meet: inside telco networks, at the edge, and in core data centers. Not a generic AI platform. Not a consultancy. We’re the bridge between raw silicon and real-world results. What impact you will have Mission: Install, validate, operate, and maintain regional and core GPU cloud deployments across datacenter environments . This role owns the practical deployment and operational readiness of the platform stack in the field. It bridges infrastructure engineering, datacenter operations, networking, host systems, storage, and platform operations. The engineer is responsible for taking a validated architecture and BOM and turning it into a working production environment, including physical deployment coordination, rack and cabling validation, switch and host bring-up, firmware and BIOS validation, operating-system installation, GPU and DPU validation, storage integration, platform stack installation, acceptance testing, and operational handover. The role is intentionally hands-on and cross-domain. It is not a pure datacenter technician role, and it is not a pure platform engineering role. It is the person who can work in a datacenter, understand cabling and optics, debug host and network issues, validate GPU servers, support platform installation, and coordinate with engineering when problems arise. The role is especially important as the platform evolves from regional deployments toward HGX-based GPU systems, east-west fabrics, and core AI infrastructure. This profile is focused on actual installation, commissioning, maintenance, and operational readiness. What you’ll do Datacenter deployment and commissioning • Coordinate physical deployment activities with datacenter providers, integrators, logistics teams, and internal engineering. • Validate rack layouts, elevations, power feeds, airflow assumptions, cable paths, and labeling before installation. • Support rack-and-stack activities for GPU nodes, CPU nodes, storage nodes, switches, firewalls, routers, serial/OOB equipment, PDUs, and supporting infrastructure. • Validate fibre and copper cabling against the deployment design, including OOB, north-south, east-west, storage, and management networks. • Validate optics, transceivers, link speeds, breakout cables, port mappings, and redundancy assumptions. • Maintain accurate as-built documentation, including rack elevations, cable maps, por
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