Network Design Engineer (Remote with 50% Travel)
Key details
- Work type
- remote
- Employment
- full time
Job Description
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.
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Source: Google Jobs • Last updated 2w ago