Staff Network Engineer (AI Fabric, Datacenter and Edge Networking) - Radian Arc

Radian Arc Limited; United States; Remote; USD 170,000 - 210,000; Full time

Job summary

Radian Arc Limited is seeking a Staff Network Engineer to design, implement and operate the networking backbone of the GPU cloud platform. You will span AI fabrics and datacenter networking, delivering low latency and scalable RoCE/Ethernet solutions across global deployments.

You will own architectural direction, drive reliability, and lead cross‑functional collaboration with platform, compute, storage and security teams. Remote work is supported.

Qualifications

• Experience designing AI infrastructure networking at scale.
• Strong knowledge of RoCE and Ethernet fabrics.
• Experience with datacenter network design and inter-datacenter connectivity.

Responsibilities

• Design and operate AI fabrics and HPC networking for distributed workloads.
• Lead end‑to‑end engineering delivery from design to production deployment.
• Drive capacity planning, performance modeling and scaling strategies.
• Own operational reliability and implement automation for provisioning and monitoring.

Skills

Networking fundamentals

Distributed AI networking

Architectural leadership

Cross-functional collaboration

Tools

VyOS

OVS/OVN

BGP/ECMP

Linux networking

RoCE

DWDM

Spectrum-X

Job description

Location & work modality: Remote Type of Contract: Full time or Contract

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

Design, implement, and operate the network infrastructure powering the GPU cloud platform, including high-performance AI fabrics as well as classical datacenter networking components such as routing, security, and external connectivity. This role spans both high-performance east-west networking for distributed AI workloads and north-south connectivity, security, and inter-datacenter transport. As the first dedicated networking role in the organization, the Staff Network Engineer combines Staff-level architectural ownership, technical direction, and cross-functional influence with hands‑on execution across design, deployment, troubleshooting, automation, and operational improvement. The Staff Network Engineer owns the long‑term technical direction and operational strategy for Radian Arc ’s AI interconnect networks, designing scalable GPU fabrics and ensuring predictable low‑latency performance across distributed training and inference workloads. The role includes designing large‑scale RoCE and Ethernet fabrics, guiding architecture decisions, and ensuring operational excellence across global deployments, from hyperscale datacenters to smaller edge locations. You will collaborate closely with platform, compute, storage, observability, and operations teams to ensure networking is deeply integrated into the overall infrastructure architecture. This role also acts as the senior escalation point for complex networking incidents, driving deep technical investigations and systemic improvements that increase reliability, latency consistency, and operational maturity across the platform. Because this is currently the primary networking role in the company, the position is intentionally hybrid: you are expected to operate at L6 / Staff in terms of technical direction, standards, cross‑team influence, and long‑term design, while also directly executing critical networking work that, in a larger organization, would be distributed across multiple engineers. We expect to hire more than one person for this role so providing you have experience in designing AI Infrastructure networking solutions at scale.

What you’ll do

AI Fabric & HPC Networking

Design and operate high-performance GPU networking fabrics supporting distributed AI workloads. Architect large‑scale RoCE fabrics optimized for distributed training and inference. Optimize network performance for GPU communication patterns and east‑west traffic.

Design fabric topologies such as:

• Leaf-spine
• Fat-Tree
• Rail architectures
• Multi-plane

Implement high-performance networking technologies including:

• RDMA
• RoCE
• High‑bandwidth east‑west fabrics
• Spectrum-X

Collaborate with compute teams to support distributed training frameworks and GPU communication libraries. Define reference architectures and design principles for AI fabrics so future deployments follow reusable standards rather than one‑off implementations. Evaluate architectural trade‑offs across performance, resilience, cost, operability, and deployment speed, and make clear recommendations to stakeholders.

Datacenter Networking

Design and operate Layer‑2 and Layer‑3 datacenter networks. Implement scalable routing architectures based on BGP and ECMP. Design tenant network isolation mechanisms across multi‑tenant environments.

Implement and maintain:

• Network bridges
• Routing stacks
• Overlay networking systems

Maintain north‑south ingress/egress routing and traffic management. Define standards and reusable patterns for segmentation, routing, and overlay integration across platform deployments.

Technologies include: VyOS routers Linux networking stacks OVS / OVN BGP / ECMP VLAN / VRF segmentation

Security & Edge Connectivity

Deploy and maintain north‑south security infrastructure. Implement WAF and application‑layer protections. Integrate security controls with platform services.

Technologies include: Citrix NetScaler / Citrix WAF TLS termination DDoS mitigation API and proxy gateway protection

Inter‑Datacenter Networking

Design and operate private interconnects between datacenters. Implement and maintain dark fiber ring architectures. Operate high‑capacity WAN connectivity between regions. Integrate datacenter fabrics into a global backbone network. Define scalable design principles for backbone evolution, inter‑site routing, redundancy, and failure‑domain isolation.

Technologies include: DWDM / dark fiber transport BGP inter‑site routing Redundant fiber ring architectures 100-400G optical transport Spectrum-XGS

Engineering Execution & Delivery

Lead end‑to‑end engineering delivery of networking infrastructure, from design and labvalidation to production deployment. Validate network BOMs together with procurement and deployment teams. Provide detailed input into datacenter layouts and rack elevations. Drive capacity planning, performance modeling, and scaling strategies. Ensure network changes are executed safely with minimal customer impact. Act as both the architectural owner and the practical execution lead for critical network initiatives during the build‑out phase of the networking function. Establish deployment standards, validation criteria, rollback approaches, and acceptance patterns that future engineers and teams can reuse.

Operational Excellence & Reliability

Own operational performance and reliability of networking infrastructure. Drive automation for:

• Provisioning
• Configuration management
• Monitoring
• Lifecycle management

Improve day‑2 operations through a