Implements, validates, troubleshoots, and optimizes high-performance AI network fabrics supporting GPU clusters and distributed workloads. Configures InfiniBand, Ethernet, RoCE, routing, congestion management, telemetry, cabling, and fabric-management systems. Performs installation, burn-in, performance testing, documentation, knowledge transfer, and client handoffs. Contributes to statements of work, implementation plans, and solution validation while managing project scope, schedules, budgets, and customer communication.
Description
Job Summary
The AI Infrastructure Consulting Engineer - AI Networking & Fabric Architecture is responsible for implementing, validating, and optimizing high-performance network fabrics that support accelerated computing and distributed AI workloads. This client-facing, billable role provides high-quality deliverables and ensures solutions are implemented as designed to the client's satisfaction and approval. The engineer translates workload, topology, performance, and operational requirements into reliable network configurations for GPU clusters and adjacent data-center infrastructure.
What You Will Do
• Manage time and expense to meet or exceed expectations defined in the Statement of Work, proactively escalating potential scope, schedule, or budget issues as soon as they are known. • 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 required 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 when requested. • Create and maintain accurate project documentation, as-built configurations, test plans, work logs, and client handoff materials.
What We Expect of You
• 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 the ability to balance competing priorities while meeting deadlines. • Ability and willingness to work beyond regularly scheduled shifts, select weekends, or overtime as necessary to meet operational needs. • 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. Pay range: $77,250 - $108,265 depending on experience and skill set Annual bonus target of 10% subject to terms and conditions of plan Benefits overview: https://cdw.benefit-info.com/ Salary ranges may be subject to geographic differentials
* CDW is committed to being an AI-fluent organization
* We're looking for people who bring curiosity, a learner's mindset, and a willingness to engage with ever-evolving technology and tools. We value adopting AI as a partner, openness to experimentation, and a shared interest in learning together on AI. Our goal is to create a culture where AI enhances- not replaces- human creativity and decision-making. You don't need to be an expert today; what matters is your readiness to explore, adapt, and grow with us as we integrate AI responsibly and effectively into our work.Additionally, CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, our goal is to understand your experience, strengths, skills, and qualifications. As an AI forward company, we see AI not just as a tool, but as a catalyst for new ways of thinking, creating, and communicating. We encourage candidates to embrace an AI mindset, one that's curious, adaptive, and ready to explore what's possible. We welcome thoughtful use of AI to expand your perspective and elevate how you share your story, while ensuring your application remains rooted in your own background, judgment, and voice.
* About Us
* CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what's possible through technology. What makes CDW different isn't just what we do- it's how we do it. At CDW we act as one- building trust, speaking candidly, and working together to achieve more. We play to win- focusing on what matters most and delivering for our customers. And we think forward- staying curious, moving fast, and continuously learning. We believe meaningful work happens when people feel supported, heard, and empowered to contribute. That's why we think of ourselves as coworkers, not just employees- working together to solve complex challenges and deliver real impact for our customers and communities. As a full-stack, full-lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes. When you join CDW, you become part of a collaborative environment where your work matters, your growth is supported, and your contributions help shape what's next. Together, we deliver the full promise of what technology can do.
* Together, we Make Amazing Happen.
* CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.
Job Summary
The AI Infrastructure Consulting Engineer - AI Networking & Fabric Architecture is responsible for implementing, validating, and optimizing high-performance network fabrics that support accelerated computing and distributed AI workloads. This client-facing, billable role provides high-quality deliverables and ensures solutions are implemented as designed to the client's satisfaction and approval. The engineer translates workload, topology, performance, and operational requirements into reliable network configurations for GPU clusters and adjacent data-center infrastructure.
What You Will Do
• Manage time and expense to meet or exceed expectations defined in the Statement of Work, proactively escalating potential scope, schedule, or budget issues as soon as they are known. • 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 required 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 when requested. • Create and maintain accurate project documentation, as-built configurations, test plans, work logs, and client handoff materials.
What We Expect of You
• 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 the ability to balance competing priorities while meeting deadlines. • Ability and willingness to work beyond regularly scheduled shifts, select weekends, or overtime as necessary to meet operational needs. • 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. Pay range: $77,250 - $108,265 depending on experience and skill set Annual bonus target of 10% subject to terms and conditions of plan Benefits overview: https://cdw.benefit-info.com/ Salary ranges may be subject to geographic differentials
* CDW is committed to being an AI-fluent organization
* We're looking for people who bring curiosity, a learner's mindset, and a willingness to engage with ever-evolving technology and tools. We value adopting AI as a partner, openness to experimentation, and a shared interest in learning together on AI. Our goal is to create a culture where AI enhances- not replaces- human creativity and decision-making. You don't need to be an expert today; what matters is your readiness to explore, adapt, and grow with us as we integrate AI responsibly and effectively into our work.Additionally, CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, our goal is to understand your experience, strengths, skills, and qualifications. As an AI forward company, we see AI not just as a tool, but as a catalyst for new ways of thinking, creating, and communicating. We encourage candidates to embrace an AI mindset, one that's curious, adaptive, and ready to explore what's possible. We welcome thoughtful use of AI to expand your perspective and elevate how you share your story, while ensuring your application remains rooted in your own background, judgment, and voice.
* About Us
* CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what's possible through technology. What makes CDW different isn't just what we do- it's how we do it. At CDW we act as one- building trust, speaking candidly, and working together to achieve more. We play to win- focusing on what matters most and delivering for our customers. And we think forward- staying curious, moving fast, and continuously learning. We believe meaningful work happens when people feel supported, heard, and empowered to contribute. That's why we think of ourselves as coworkers, not just employees- working together to solve complex challenges and deliver real impact for our customers and communities. As a full-stack, full-lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes. When you join CDW, you become part of a collaborative environment where your work matters, your growth is supported, and your contributions help shape what's next. Together, we deliver the full promise of what technology can do.
* Together, we Make Amazing Happen.
* CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.
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