Consulting Engineer – AI Networking, Fabric Architecture

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee time and expenses to meet or surpass expectations outlined in the Statement of Work, addressing any scope, schedule, or budget concerns as necessary.

• Design and validate high-performance AI network fabrics utilizing InfiniBand, Ethernet, RoCE, or similar technologies.

• Set up and troubleshoot lossless networking, congestion management, quality of service, routing, telemetry, cabling, optics, and fabric-management components.

• Facilitate GPU-to-GPU, node-to-node, storage, management, and client network connectivity for distributed training and inference environments.

• Carry out installation, configuration, burn-in, performance validation, troubleshooting, documentation, and knowledge transfer in client settings.

• Offer technical insights for SOWs, ROMs, LOEs, implementation plans, and solution validation.

• Develop and maintain project documentation, including as-built configurations, test plans, work logs, and client handoff materials.

⛳️ Requirements

• A Bachelor's degree with 3 years of experience in delivering complex network or data center infrastructure solutions, encompassing planning, implementation, integration, and support, OR 7 years of experience in similar areas.

• Practical experience in implementing and troubleshooting enterprise data center networks.

• Familiarity with Ethernet switching, routing, VLANs, LAG/MLAG, BGP, cabling, optics, telemetry, and network validation.

• Knowledge of lossless fabric concepts, including priority flow control, explicit congestion notification, congestion management, buffering, and quality of service.

• Experience with InfiniBand, RoCE, RDMA, GPUDirect RDMA, or other similar high-performance networking technologies.

• Capability to interpret network designs, port maps, bills of materials, cable matrices, and implementation plans.

• Proficiency in building and executing test plans aligned with project deliverables and the Statement of Work.

• Excellent written and verbal communication skills with the ability to engage effectively with leadership stakeholders and clients.

• Proven track record of creating precise as-built documentation and transferring technical knowledge to clients.

• Strong attention to detail, analytical problem-solving skills, and the ability to manage competing priorities while meeting deadlines.

• Willingness to work beyond regular shifts, including select weekends or overtime as required.

• Ability and readiness to travel as necessary to CDW locations or client sites.

• Valid U.S. driver's license.

• Experience with NVIDIA Spectrum-X, Spectrum Ethernet, Quantum InfiniBand, Cumulus Linux, SONiC, or similar data center networking platforms is a plus.

• Familiarity with NVIDIA UFM, NetQ, telemetry, automation, benchmarking, or fabric-management tools is a plus.

• Knowledge of rail-optimized topologies, distributed training communication patterns, and AI storage-network requirements is a plus.

• Preferred NVIDIA certifications relevant to the role include NVIDIA-Certified Professional AI Networking (NCP-AIN) and NVIDIA-Certified Professional AI Infrastructure (NCP-AII), is a plus.

🏝️ Benefits

• Annual bonus target of 10% subject to the terms and conditions of the plan.

• Overview of benefits provided by CDW.

• Salary ranges may be influenced by geographic differentials.

• Travel support available as needed to CDW locations or client sites.