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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in HPC architecture, including CPU and GPU compute, high-performance interconnects, and parallel storage, while effectively translating customer needs into actionable technical solutions. Proficient in benchmarking, total cost of ownership modeling, and navigating complex funding and hosting models for research and public sector clients.
Highest-signal resume keywords
HPC Architecture KnowledgeHPC Software KnowledgeTotal Cost of Ownership ModelingTechnical Tender WritingExperience in Research or Public Sector Procurement
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
HPC ArchitectureCPU and GPU ComputeHigh-Performance InterconnectsParallel StorageBenchmarkingApplication Performance ProfilingTotal Cost of Ownership ModelingAI Training and InferenceCluster ManagementWorkload Behavior Analysis
Soft Skills
Collaborative WorkCustomer Relationship BuildingTechnical CommunicationProblem SolvingInterpersonal Skills
Tools & Technologies
SlurmPBS ProLSFKubernetesApptainerMPI-Based ApplicationsScientific Software EnvironmentsVendor PlatformsCloud HPCGPU-as-a-Service
Certifications & Qualifications
LPIC-3RHCANVIDIA AI Advisor
Industry Keywords
High-Performance ComputingResearch ComputingLife SciencesPublic SectorSovereign ComputeTrusted Research EnvironmentsFive Safes FrameworkData ResidencyColocationNeocloud
Tech Stack
Tools & technologiesCloudKubernetes
About the role
Key responsibilities & impact- Act as CDW UK's lead technical authority for HPC and accelerated compute across simulation, modelling, research computing and AI training
- Shape HPC solutions for research and education, life sciences, private sector, public sector and sovereign customers
- Profile customer applications and workloads to determine compute, memory, input/output and interconnect requirements
- Set sizing and architecture logic underpinning pricing
- Direct and validate vendor and CDW architect designs and bills of materials
- Coordinate compute, network fabric, storage, software and facilities end to end
- Assess power, cooling, floor loading, space, liquid cooling, heat reuse and energy efficiency requirements
- Advise on on-premises, colocation, sovereign, neocloud and hybrid hosting options
- Match CapEx, OpEx and grant-funded models to customer funding, security and sovereignty requirements
- Shape secure and sensitive research environments, including Trusted Research Environments and data residency
- Scope and run benchmarks, proofs of concept and vendor test drives using customer workloads
- Build total cost of ownership models covering energy, cooling, utilisation, licensing, sustainability and refresh
- Lead technical responses to research and public sector tenders and frameworks
- Own solutions and translate customer needs into actionable technical insights
- Present technical and commercial solutions to decision makers
- Conduct structured discovery and document customer requirements
- Support proposal creation, technical high-level design documents, bids and customer presentations
- Promote relevant CDW services and provide professional services costings
- Drive architecture-led pricing and sizing while managing commercial risks
- Support Sales, Business Development Managers and CDW's OCTO function with customer insights and account campaigns
Requirements
What you’ll need- Typically 3+ years in HPC, research computing or accelerated compute architecture
- Minimum of 5 years in a technical consulting, solution architecture, or pre-sales engineering role
- HPC architecture knowledge covering CPU and GPU compute, high-performance interconnects, and parallel storage
- HPC software knowledge including Slurm, PBS Pro or LSF, cluster management, MPI-based applications, Apptainer, Kubernetes for AI, and scientific software environments
- Knowledge of workload behavior, application scaling, AI training and inference, and AI Factory reference architectures
- Knowledge of data centre facilities, power density, liquid and hybrid cooling, floor loading, energy efficiency, heat reuse and site readiness
- Sector knowledge covering research and education, life sciences, private sector, sovereign compute, UK national compute programmes and services
- Knowledge of secure and sovereign compute, Trusted Research Environments, Five Safes framework, data residency and public sector assurance requirements
- Knowledge of hosting and funding models including colocation, sovereign, neocloud, cloud HPC, GPU-as-a-service, CapEx, OpEx and grant-funded models
- Knowledge of HPC competitive landscape and supply chain constraints
- Knowledge of a structured sales process
- Ability to challenge, interpret, question and validate vendor designs and bills of materials
- Ability to translate scientific and engineering requirements into architecture
- Ability to build total cost of ownership models
- Benchmarking and application performance profiling skills
- Technical tender writing, including compliance matrices and clarification responses
- Ability to work collaboratively with sales, delivery teams and Business Development Managers
- Ability to maintain relevant certifications and pursue ongoing learning
- Track record of shaping HPC solutions from workload requirements
- Experience in at least one target sector
- Experience of research or public sector procurement, including tenders and frameworks
- Experience working with facilities or colocation partners on high-density deployments
- Experience building positive internal and external customer relationships
- Familiarity with relevant vendor platforms and tools
- Demonstratable experience leading business outcomes during customer engagements
- Demonstrated success engaging with customers remotely and face to face
- A degree or postgraduate qualification in a scientific, engineering or computing discipline is desirable, not required; equivalent experience is equally valued
- Relevant certifications such as LPIC-3, RHCA or NVIDIA AI Advisor are desirable
Benefits
Comp & perks- Hybrid working arrangement
- Ongoing learning and development
- Role-aligned certifications and accreditations
- Vendor training certifications and resources
- Equal opportunity employment