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Network Engineer, Design & Engineering

Fluidstack· Development
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Hybrid (New York, NY)$202k - $261kFull-timePosted 3mo ago

About the role

Role focused on designing and engineering scalable, lossless network fabrics for AI training/inference infrastructure at Fluidstack, including end-to-end network design lifecycle, multi-vendor platform integration, and collaboration across hardware, DC Ops, ICT, software, and validation.

Responsibilities

  • Own the network design lifecycle from customer requirements through deployable, validated architectures for AI training and inference.
  • 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.
  • 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.
  • Bonus: Source-of-truth-driven design generation. Multi-vendor GPU platform integration. Large-cluster (100k+ accelerator) experience.

Skills

Required:Network design and deploymentL1-L3 networking (CLOS/fat-tree)BGP, EVPN/VXLANRoCEv2 / RDMA fabricsECMP and congestion managementCross-functional collaboration

Benefits

  • Competitive total compensation package (salary + equity).
  • Retirement or pension plan, in line with local norms.
  • Health, dental, and vision insurance.
  • Generous PTO policy, in line with local norms.
Last updated Sep 22, 2026. Interested? Apply on the company site.
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About Fluidstack

Fluidstack builds civilization-scale infrastructure for AI

Fluidstack builds civilization-scale infrastructure for AI, delivering gigawatts of compute in 6 months. We're leading the deployment of Anthropic's $50B compute build out.

AI infrastructurecompute centershardwaresoftwarepowerdata centersAnthropicfrontier compute
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