About the Company
Insight Global is searching for a Network Engineer to play a key role within our clients infrastructure team.
About the Role
This person will: Own the network design lifecycle from customer requirements (GPU shape, workload, scale, tenancy) through deployable, validated architectures for AI training and inference.
Responsibilities
• Produce topology designs, IP/addressing schemes, routing policy, and fabric configuration specs across front-end, back-end (GPU-to-GPU training fabric), and storage networks.
• Adapt architectures to different GPU platforms (NVIDIA, AMD, custom accelerators), form factors, and workload profiles, each with its own rack layout, power envelope, and cabling approach.
• Translate logical designs into physical reality: rack elevations, power constraints, structured cabling and fiber budgets, pathway routing, and airflow that affect equipment placement.
• Design lossless Ethernet fabrics for RDMA (RoCEv2): PFC, ECN tuning, traffic classes, and congestion management, reasoning about ECMP and collective-communication patterns in distributed training.
• Produce HLDs, LLDs, cutsheets, BOMs, cabling matrices, and design decision records, and lead design reviews and reusable reference architectures.
Qualifications
• You've designed data center network fabrics from requirements through deployment, not just configured them, and can explain the tradeoffs behind every decision.
• You have deep L1 to L3 expertise: CLOS/fat-tree topologies, BGP, EVPN/VXLAN, and the fundamentals underneath them.
• You design lossless RDMA (RoCEv2) fabrics and understand congestion management at training scale.
• You reason from first principles through novel design challenges rather than pattern-matching to one reference architecture.
• You partner across Hardware, DC Operations, ICT, Software, and Validation so designs are buildable and operationally sound.
Required Skills
• Source-of-truth-driven design generation.
• Multi-vendor GPU platform integration.
• Large-cluster (100k+ accelerator) experience.