Staff Network Engineer (AI Fabric, Datacenter and Edge Networking) - Radian Arc
Radian Arc · Engineering · Lead · 1mo ago
Anyone, anywhere in the world can apply.
AI review: Checked the employer's own posting (https://job-boards.eu.greenhouse.io/radianarc/jobs/4876887101). Evidence: "Location & work modality: Remote"
Applies on the original listing · via Himalayas
Who can apply
Read straight from the listing, so you know before you spend time on it.
Anyone, anywhere in the world can apply.
“Location & work modality: Remote”
- Async-first
- The listing doesn't promise async-first working.
- Contractor / B2B
- The position is offered as either Full-time or Contract.
- Global stipend
- No home office or equipment budget mentioned.
- Annual retreat
- No company-paid get-togethers mentioned.
Read from the listing automatically. Always confirm the details with the company before you accept an offer.
About the role
As the first dedicated networking hire, the Staff Network Engineer will design, implement, and operate the network infrastructure powering Radian Arc's GPU cloud platform. You will balance architectural ownership and strategy with hands-on execution across RoCE AI fabrics, datacenter L2/L3 networking, security, and inter-datacenter connectivity.
What you'll do
- Architect and operate high-performance GPU networking fabrics (RoCE, RDMA, leaf-spine, fat-tree) optimized for distributed AI training and inference.
- Design and maintain L2/L3 datacenter networks, scalable routing architectures (BGP, ECMP), and tenant network isolation.
- Deploy north-south security infrastructure, WAF, TLS termination, and DDoS mitigation controls.
- Design and operate private datacenter interconnects, dark fiber rings, and WAN backbone connectivity.
- Lead incident response, root-cause analyses, and drive automation for provisioning, configuration, and monitoring.
- Collaborate across compute, platform, SRE, and datacenter operations teams to define networking standards and reference architectures.
What you bring
- Staff-level expertise designing and operating AI infrastructure networking and high-performance GPU fabrics at scale.
- Deep technical knowledge of high-performance east-west networking, including RoCE, RDMA, and leaf-spine/fat-tree topologies.
- Strong hands-on experience with datacenter networking technologies (BGP, ECMP, VLAN/VRF, Linux networking stacks, VyOS).
- Experience with edge security infrastructure such as WAF, proxy gateways, and inter-datacenter transport (DWDM, optical transport).
- Proven ability to act as both an architectural lead and hands-on execution owner in a fast-paced environment.
About Radian Arc
Radian Arc delivers outcome-optimized AI infrastructure, deploying, orchestrating, and monetizing GPU compute inside telco networks, at the edge, and in core data centers.
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