The

Domain Architect - AI Network

acts as the primary technical authority for the physical and logical lifecycle of

high-performance interconnect fabrics

across diverse client environments, who bridges the gap between architectural design and hands-on execution. You are a "doer" who is as comfortable configuring

Adaptive Routing on leaf and spine switches

in the CLI as you are explaining that configuration to a C-level client.

As a System Integrator, we do not simply manage a static cloud; we design and deliver bespoke, high-scale AI factories for the world's leading enterprises. In this role, you will define the "Gold Standard" for

network

infrastructure, moving beyond single- switch

management to architect repeatable, scalable, and automated

lossless

fabrics. You will serve as the technical lead for NVIDIA Cloud Provider (NCP) and private enterprise AI cloud deployments, owning the " Network " in the critical "Compute-Network-Storage" triad.

In this role, you will operate with a

60/40 split

between delivering (60) complex AI infrastructure and providing Pre-Sales (40) Subject Matter Expertise (SME). You will lead the physical provisioning of

InfiniBand and Spectrum-X Ethernet fabrics for NVIDIA SuperPOD, NVIDIA BasePOD, and Cisco AI Factory environments , ensuring our clients receive "Day 2" ready AI factories, while assisting the sales team in defining the scope and cost of future deployments.

Key Responsibilities 1. Delivery & Implementation (60%)

High-Performance Fabric Design:

Architect and deploy

Non-Blocking Fat-Tree (Clos)

topologies using

NVIDIA Quantum-2 (NDR) / Quantum-3 (XDR) InfiniBand switches

and

Spectrum-4 Ethernet switches .

Implement

Rail-Optimised

network designs to ensure GPU-to-GPU traffic is perfectly aligned with compute node PCIe trees, minimising latency for NCCL collectives.

Configure

Adaptive Routing ,

Congestion Control , and

Quality of Service (QoS)

to prevent "Head-of-Line Blocking" and ensure lossless data delivery.

In-Network Computing & Offload Strategy:

InfiniBand (Switch-Based):

Enable and tune

SHARP (Scalable Hierarchical Aggregation and Reduction Protocol)

on Quantum switches to offload collective operations (AllReduce, ReduceScatter)



from the GPU to the switch silicon.

Ethernet (Endpoint-Based):

Architect high-performance Ethernet AI fabrics utilising

SmartNIC/DPU offloading

(e.g.,

NVIDIA BlueField-3 ) to accelerate collective operations and isolate management traffic from the data path.

Future Stacks:

Evaluate and roadmap emerging

Ultra Ethernet Consortium (UEC)

standards and hardware capabilities to transition In-Network Collectives from proprietary InfiniBand to open Ethernet standards.

Tune

RoCEv2

and adaptive routing algorithms on Ethernet fabrics and SmartNICs to approximate InfiniBand-like lossless behaviour.

Fabric Management & Telemetry:

Deploy

NVIDIA UFM (Unified Fabric Manager)

to manage InfiniBand subnets and

NetQ

for Ethernet telemetry.

Monitor fabric health to identify "Slow Receivers" and link degradation in real-time.

Implement

PTP (Precision Time Protocol)

for nanosecond-level clock synchronisation across the entire cluster.

Layer 1 Precision:

Oversee the physical cabling strategy, defining strict cable schedules (DAC vs. AOC vs. OSFP transceivers) to meet signal integrity requirements over specific distances.

Validate the "Link Budget" to ensure optical loss falls within acceptable limits for 400G/800G links.

Technical Scoping & Sizing:

Calculate the required

Bisectional Bandwidth

for client workloads (e.g., Training requires 1:1 non-blocking, Inference may tolerate 3:1 oversubscription).

Produce accurate

Labour Estimates (LOE)

for complex network integrations.

BoM Validation:

Own the Network Bill of Materials (BoM), validating that every transceiver, cable, and switch is on the

NVIDIA/OEM HCL .

Manage the complexities of breakout cables (e.g., 800G to 2x400G) and connector types (OSFP, QSFP112) to prevent on-site installation failures.





Educate clients on the difference between standard Enterprise Ethernet (Lossy, TCP-based) and AI Fabric (Lossless, RDMA-based).

Design integration points between the high-speed "Backend" AI fabric and the client's existing "Frontend" management network (BGP/EVPN handoffs).

Deep expertise in

NVIDIA Quantum InfiniBand

switch architecture and management via

MLNX-OS

and UFM.

Mastery of

Spectrum-X

Ethernet platforms running

NVIDIA Cumulus Linux

or

SONiC (Software for Open Networking in the Cloud) .

Proficiency in configuring

RoCEv2

(RDMA over Converged Ethernet), including

PFC

(Priority Flow Control) and

ECN

(Explicit Congestion Notification).

Architectural understanding

of

NVIDIA BlueField DPU

and

DOCA

use cases for offloading network functions.

Network Automation (NetDevOps):

Proficiency in

Python

and

Ansible

for switch configuration management.

Experience with

Infrastructure as Code (IaC)

principles to treat network config as software.

Fabric Telemetry:

Hands-on experience with

UFM ,

Prometheus , and

Grafana

for visualising fabric congestion and "tail latency."

Multi-Vendor Exposure:

Experience with

Arista (EOS)

for high-performance AI Ethernet or

Cisco (Nexus Dashboard)

for AI infrastructure.

Routing Protocols:

Solid understanding of

BGP ,

EVPN , and

VXLAN

for multi-tenant isolation.

Compute Integration:

Understanding of how the network interacts with the host OS (IPoIB, Netlink) and optimisation of

GPU Direct RDMA (GDR)

and

NCCL communication patterns .

Scale-Across : Extending an InfiniBand fabric across multiple data centrehalls (NVIDIA Metro-X).

Certifications:

NVIDIA-Certified Qualified: AI Networking (NCP-AIN)

NVIDIA-Certified Associate: AI Infrastructure and Operations (NCA-AIIO)

Fabric Performance:

Achieving >95% effective bandwidth efficiency on

NCCL-test

benchmarks across the full cluster.

Deployment Accuracy:

Zero "Layer 1" rework required due to incorrect transceiver/cable specification in the BoM.

Stability:

Zero

topology or design-induced link instability

(e.g., cabling mismatches) in production.

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📌 Domain Architect - AI Network (Haymarket)
🏢 World Wide Technology
📍 Haymarket