AI Infrastructure Consulting Engineer – Converged Compute, Storage

CDW

. Manage time and expense to meet or exceed expectations defined in the Statement of Work, proactively escalating potential scope, schedule, or budget issues.

Posted 10/22/2026full-timeRemote • United StatesMid-LevelSenior💰 $77,725 - $108,265 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in delivering complex infrastructure solutions, including planning, implementation, integration, and support for AI and machine learning workloads. Proficient in managing project documentation, collaborating with stakeholders, and ensuring alignment with operational needs and performance standards.

Highest-signal resume keywords

Infrastructure Solution DeliveryAccelerated Computing PlatformsHigh-Performance Storage ArchitecturesLinux AdministrationTechnical Documentation Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

InstallationConfigurationTroubleshootingAI Workload CharacteristicsData IngestCheckpointingNFSSMBNVMePerformance Troubleshooting

Soft Skills

Strong Communication SkillsAnalytical Problem SolvingAttention to DetailAbility to Balance Competing Priorities

Tools & Technologies

NVIDIA DGXHGXGPUDirect StorageKubernetesSlurmContainer RuntimesAI Platform Orchestration

Certifications & Qualifications

NVIDIA-Certified Professional AI Infrastructure (NCP-AII)NVIDIA-Certified Associate AI Infrastructure and Operations (NCA-AIIO)

Industry Keywords

High-Performance InfrastructureData MovementOperational NeedsEnterprise AIMachine Learning Workloads

Tech Stack

Tools & technologies

KubernetesLinuxNFS

About the role

Key responsibilities & impact

Manage time and expense to meet or exceed expectations defined in the Statement of Work, proactively escalating potential scope, schedule, or budget issues.
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.
Create and maintain accurate project documentation, as-built configurations, test plans, work logs, and client handoff materials.
Design, implement, validate, and support high-performance infrastructure solutions for enterprise AI and machine learning workloads.
Understand client environments, identify infrastructure requirements, and communicate solutions aligning accelerated compute, storage, data movement, resiliency, and operational needs.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Annual bonus target of %10 subject to terms and conditions of plan
Benefits overview: https://cdw.benefit-info.com/
Remote work arrangement
Salary ranges may be subject to geographic differentials