Consulting Engineer – AI Networking, Fabric Architecture

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $77.3k - $108.3k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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Logo of CDW

CDW

10,000+ employees

Founded 1984

💼 Consulting

🏥 Healthcare

📚 Education

💰 Post-IPO Equity on 2015-07

Consulting • Healthcare • Education

CDW is a leading provider of technology solutions, offering a comprehensive range of products and services to address the needs of enterprises, government, healthcare, and education sectors. They specialize in providing IT infrastructure services, managed services, and security solutions. CDW partners with top technology brands to deliver customized solutions that enhance business productivity and performance across various industries. With a strong focus on digital transformation, security, and cloud solutions, CDW supports businesses in navigating the complexities of modern IT environments. Their expertise spans several domains, including digital workspaces, cybersecurity, and enterprise solutions, making CDW a key partner in driving technological advancements.

📋 Description

• Manage time and expense to meet or exceed Statement of Work expectations, escalating scope, schedule, or budget issues • Implement and validate high-performance AI network fabrics using InfiniBand, Ethernet, RoCE, or related technologies • Configure and troubleshoot lossless networking, congestion management, quality of service, routing, telemetry, cabling, optics, and fabric-management components • Support GPU-to-GPU, node-to-node, storage, management, and client network connectivity for distributed training and inference environments • Execute installation, configuration, burn-in, performance validation, troubleshooting, documentation, and knowledge transfer in customer environments • Provide technical input for SOWs, ROMs, LOEs, implementation plans, and solution validation • Create and maintain project documentation, as-built configurations, test plans, work logs, and client handoff materials

🎯 Requirements

• Bachelor's degree and 3 year's experience delivering complex network or data-center infrastructure solutions, including planning, implementation, integration, and support OR 7 year's delivering complex network or data-center infrastructure solutions, including planning, implementation, integration, and support • Hands-on experience implementing and troubleshooting enterprise data-center networks • Working knowledge of Ethernet switching, routing, VLANs, LAG/MLAG, BGP, cabling, optics, telemetry, and network validation • Understanding 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 comparable high-performance networking technologies • Ability to interpret network designs, port maps, bills of materials, cable matrices, and implementation plans • Ability to build and execute test plans aligned to assigned project deliverables and the Statement of Work • Strong written and verbal communication skills with the ability to effectively interact with leadership stakeholders and clients • Proven ability to create accurate as-built documentation and transfer technical knowledge to clients • Demonstrated attention to detail, analytical problem solving, and ability to balance competing priorities while meeting deadlines • Ability and willingness to work beyond regularly scheduled shifts, select weekends, or overtime as necessary • Ability and willingness to travel as needed 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 comparable data-center networking platforms, is a plus • Experience with NVIDIA UFM, NetQ, telemetry, automation, benchmarking, or fabric-management tooling, is a plus • Familiarity with rail-optimized topologies, distributed training communication patterns, and AI storage-network requirements, is a plus • Preferred NVIDIA certifications aligned 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 terms and conditions of plan • Benefits overview provided by CDW • Salary ranges may be subject to geographic differentials • Travel support as needed to CDW locations or client sites

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