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Impact:
- Design, implement, and operate the network infrastructure powering the GPU cloud platform, including high-performance AI fabrics and classical datacenter networking.
- Own 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.
- Act as the senior escalation point for complex networking incidents, driving deep technical investigations and systemic improvements.
Responsibilities:
- AI Fabric & HPC Networking: Architect and operate large-scale RoCE fabrics optimized for distributed training and inference, and design topologies like leaf-spine, fat-tree, rail architectures.
- Datacenter Networking: Design and operate Layer-2 and Layer-3 networks, implement scalable routing with BGP/ECMP, and maintain overlay networking systems.
- Security & Edge Connectivity: Deploy and maintain north-south security infrastructure including WAF, DDoS mitigation, and API proxy gateway protection.
Requirements:
- Strong hands-on experience designing and operating large-scale datacenter networks with expert knowledge of BGP, OSPF, ECMP, EVPN/VXLAN.
- Advanced expertise in AI fabric networking, including deep understanding of NCCL patterns, RoCE tuning, and RDMA transport behavior.
- Strong automation skills using Python and/or Bash, and proven ability to lead complex technical initiatives across teams.
Radian Arc
Radian Arc provides an infrastructure-as-a-service (IaaS) platform for running cloud gaming, artificial intelligence and machine learning applications inside telecommunication carrier networks. It is a fast-growing scale-up with a global team across the USA, Australia, Central Europe, Malaysia, Singapore and Japan.