Hybrid Principal Solution Architect – NeoCloud, GPU-as-a-Service

at CDW

• Job title: Principal Solution Architect – NeoCloud, GPU-as-a-Service
• Job type: Full Time
• Experience level: Lead
• Salary: $147,000 - $211,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Ansible, Cloud, Kubernetes, Python, Terraform
• Location requirements: Hybrid, United States

About the role

• Principal Solution Architect developing Hybrid Infrastructure solutions for CDW customers in pre-sales role. Collaborating with teams to maintain strategic relationships and drive business growth.

Responsibilities

• Develop appropriate assessment and service solutions for CDW customers, including architecture, optimizations, technology health checks, deployment services, and advisory services
• Collaborate with customers, delivery teams, and internal sales to offer consultative guidance, plan sales strategy, and author statements of work (SOWs)
• Analyze technical and competitive considerations, defining actions to meet customer expectations in the sales cycle by uncovering customer long-term goals and requirements and crafting solutions that build towards the desired end goals
• Maintain strategic relationships with Customers, Internal Sales & Delivery management, acting as a trusted advisor to drive business growth
• Grow influence in your assigned territory by high levels of engagement with vendors/partners/customers/Sales as a strategic advisor and being seen by teammates as an expert in the field
• Act as a subject matter expert in multiple families of products and solutions, providing regular contributions to CDW marketing approved online activities, such as LinkedIn, blog posts, online magazine, etc.
• Drive outreach initiatives, technical enablement projects, coaching, and mentoring for other SAs, Solution Executives, and Field Sellers
• Mentoring and coaching of solution architects around best practices to engage with coworkers and customers
• Architect end-to-end NeoCloud / GPUaaS platforms across compute, GPU/DPU, networking, storage, power, and cooling
• Lead design of multi-tenant GPU cloud environments leveraging technologies such as Rafay, Netris, ICE ClusterWare, Base Command, Kubernetes, Slurm, and PowerScale
• Architect automation and orchestration workflows for, Bare metal provisioning, GPU cluster lifecycle, tenant onboarding/offboarding, billing, metering, quota, RBAC, and policy management, multi-tenant networking, and VPC abstractions
• Shape the developer and end-user experience, including one-click access, notebooks, inference services, NIM, vLLM/Ollama, and by defining a SKU-based service catalog (compute, AI/ML, inference, storage, networking)
• Guide rack-scale engineering: rack/stack, cabling, firmware baselines, component health, and factory integration standards
• Design for high availability, security (SOC2 Type II requirements), GPU health monitoring, auto-remediation
• Define day-0/1/2 operational models including runbooks, SLAs, health monitoring, and QBR insights
• Support managed services design including DevOps, infrastructure automation, lifecycle management, and anomaly detection
• Act as a technical authority for internal teams, partners, and NeoCloud provider engagements
• Partner with OEMs and ISVs (NVIDIA, Dell, Penguin, Rafay, Netris, Vertiv) to drive roadmap alignment
• Lead technical assessments of emerging GPU cloud providers and influence partner strategy

Requirements

• Bachelor's Degree or equivalent experience
• Minimum of (8) years in technical, pre-sales, or post-sale delivery role
• Motivated, self-starting, and able to independently perform high quality work with minimal guidance
• Understand industry-specific challenges, regulations, and best practices
• Tailored recommendations and position the company's solutions effectively within the industry landscape
• A PSA should be able to work effectively in a team, lead technical discussions, and influence decision-making
• They may also provide guidance and mentorship to junior team members
• A PSA must have a customer-centric mindset and be able to understand and articulate customer needs effectively
• They should possess excellent communication and presentation skills to engage with customers, gather requirements, and explain technical concepts in a clear and concise manner
• Building relationships, understanding customer pain points, and providing tailored solutions are key aspects of this role
• The candidate should have the ability to design and communicate comprehensive solutions that address customer requirements, business challenges, and build consensus around the final solution
• They should be skilled in analyzing complex problems, identifying appropriate solutions, and translating technical concepts into understandable terms for customers
• Strong problem-solving skills are crucial for identifying and resolving technical issues or gaps in proposed solutions
• Willingness to travel up to 25% or as needed
• 7–12+ years engineering or architecting large-scale cloud, HPC, or GPU infrastructure platforms
• Deep experience with GPU cluster architecture (NVIDIA HGX, SXM, Blackwell, MIG) and AI/ML Platform Services (inference, training, notebooks, CI/CD Pipelines)
• Strong understanding of liquid cooling, power architectures, and modular data centers
• Hands-on expertise with orchestration platforms: Kubernetes, Slurm, Rafay, Netris, or equivalents
• Background in multi-tenant cloud architecture, including networking, isolation, IAM, RBAC, and quota/policy systems
• Proven ability to design scalable rack-scale systems including network fabrics (400–800GbE)
• Strong automation background: Infra-as-Code, Ansible, Terraform, Python
• Experience with GPUaaS provider environments or hyperscaler AI clusters, a plus
• Familiarity with GPU lifecycle tools (ICE ClusterWare, Base Command, DCIM platforms), a plus
• Prior ownership of platform architectures for sovereign AI, on-prem cloud, or edge datacenters, a plus

Benefits

• Annual bonus target of 25% subject to terms and conditions of plan