Job description

Job Summary The AI Infrastructure Consulting Engineer – Converged Compute & Storage is responsible for designing, implementing, validating, and supporting high-performance infrastructure solutions that enable enterprise artificial intelligence and machine learning 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 gains a clear understanding of the client environment, identifies infrastructure requirements, and communicates solutions that align accelerated compute, storage, data movement, resiliency, and operational needs. 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 integrate accelerated compute and high-performance storage solutions for AI training, fine-tuning, inference, and data-intensive workloads. · Perform discovery, installation, configuration, migration, validation, benchmarking, troubleshooting, and knowledge transfer across diverse customer environments. · Collaborate with project managers, architects, sales teams, partners, and client stakeholders to manage expectations, dependencies, risks, and timelines. · 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 years’ experience delivering complex infrastructure solutions, including planning, implementation, integration, and support OR 7 years experience delivering complex infrastructure solutions, including planning, implementation, integration, and support. · Demonstrated experience installing, configuring, upgrading, and troubleshooting enterprise compute and storage infrastructure. · Working knowledge of accelerated computing platforms, including NVIDIA DGX, HGX, or comparable GPU-based systems. · Understanding of AI workload characteristics, including data ingest, checkpointing, training, fine-tuning, inference, and model artifact management. · Experience with high-performance or scale-out storage architectures and protocols such as NFS, SMB, object storage, parallel file systems, and NVMe-based solutions. · Experience with Linux administration, firmware and driver dependencies, system validation, health checks, and performance troubleshooting. ·Ability to build and execute implementation and 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 maintain technical documentation and transfer 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 AI Enterprise infrastructure dependencies and validated architectures, is a plus. · Experience with high-performance data and virtualization platforms, is a plus. · Familiarity with GPUDirect Storage, RDMA, Kubernetes, Slurm, container runtimes, and AI platform orchestration, is a plus. · Preferred NVIDIA certifications aligned to the role include NVIDIA-Certified Professional AI Infrastructure (NCP-AII) and NVIDIA-Certified Associate AI Infrastructure and Operations (NCA-AIIO), is a plus. Pay range: $77,725 - $108,265 depending on experience and skill set Annual bonus target of %10 subject to terms and conditions of plan Benefits overview: 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.

Requirements

Must-haves

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 integrate accelerated compute and high-performance storage solutions for AI training, fine-tuning, inference, and data-intensive workloads.
Perform discovery, installation, configuration, migration, validation, benchmarking, troubleshooting, and knowledge transfer across diverse customer environments.
Collaborate with project managers, architects, sales teams, partners, and client stakeholders to manage expectations, dependencies, risks, and timelines.
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
Demonstrated experience installing, configuring, upgrading, and troubleshooting enterprise compute and storage infrastructure.
Working knowledge of accelerated computing platforms, including NVIDIA DGX, HGX, or comparable GPU-based systems.
Understanding of AI workload characteristics, including data ingest, checkpointing, training, fine-tuning, inference, and model artifact management.
Experience with high-performance or scale-out storage architectures and protocols such as NFS, SMB, object storage, parallel file systems, and NVMe-based solutions.
Experience with Linux administration, firmware and driver dependencies, system validation, health checks, and performance troubleshooting.
Ability to build and execute implementation and 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 maintain technical documentation and transfer 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.

Nice-to-haves

Experience with NVIDIA AI Enterprise infrastructure dependencies and validated architectures, is a plus.
Experience with high-performance data and virtualization platforms, is a plus.
Familiarity with GPUDirect Storage, RDMA, Kubernetes, Slurm, container runtimes, and AI platform orchestration, is a plus.
Preferred NVIDIA certifications aligned to the role include NVIDIA-Certified Professional AI Infrastructure (NCP-AII) and NVIDIA-Certified Associate AI Infrastructure and Operations (NCA-AIIO), is a plus.
Annual bonus target of %10 subject to terms and conditions of plan

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningkubernetes

Platform: workday
Effort: long