Remote Staff Network Engineer: AI/GPU Fabric Networking

Radian Arc Limited; Ireland; Remote; EUR 110,000 - 160,000; Full time

Benefits offered by this job

Remote work flexibility

Career growth opportunities

Job summary

Radian Arc Limited is seeking a Staff Network Engineer to design, build, and operate the networking fabric powering its GPU cloud platform. You will own architectural direction, guide cross‑functional teams, and drive end‑to‑end delivery from design to production.

The role emphasizes high‑performance, low‑latency interconnects for distributed AI workloads. You will collaborate with platform, compute, storage, observability, and operations teams while acting as a senior escalation point for

Qualifications

• Strong hands-on experience designing and operating large-scale datacenter networks.
• Expert knowledge of BGP, OSPF, ECMP, EVPN/VXLAN.
• Proven experience with high-speed Ethernet in production environments.
• Experience owning architecture and direct implementation in lean or fast-scaling environments.
• Deep expertise in designing GPU networking fabrics for large-scale GPU clusters.

Responsibilities

• Design and operate networking fabrics for distributed AI workloads.
• Architect RoCE fabrics optimized for training and inference.
• Collaborate with compute teams to support distributed training frameworks.
• Lead end-to-end engineering delivery of networking infrastructure.
• Drive automation for provisioning, configuration, and monitoring.

Skills

Linux networking

Datacenter networking

RoCE RDMA

BGP ECMP

GPU fabrics

Traffic optimization

Automation

Python scripting

Leadership

Tools

VyOS

OVS / OVN

Citrix NetScaler

WAF

NVIDIA Mellanox

Job description

Radian Arc Limited is seeking a Staff Network Engineer to design, build, and operate the networking fabric powering its GPU cloud platform. You will own architectural direction, guide cross‑functional teams, and drive end‑to‑end delivery from design to production.

The role emphasizes high‑performance, low‑latency interconnects for distributed AI workloads. You will collaborate with platform, compute, storage, observability, and operations teams while acting as a senior escalation point for