Presales HPC&AI Solutions Architect jobs in United States
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ChatGPT Jobs ยท 5 days ago

Presales HPC&AI Solutions Architect

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. The Presales HPC&AI Solutions Architect will lead technical engagements, architect solutions for HPC & AI workloads, and collaborate with various teams to ensure successful delivery of projects.

Computer Software

Responsibilities

Lead presales technical engagements: gather requirements, translate business outcomes into functional and technical architectures, and present proposals to customers and partners
Architect end-to-end HPC/AI infrastructure: compute/GPU nodes, storage, interconnects, orchestration, monitoring, and management
Design and validate high-performance networking for east-west and north-south traffic (InfiniBand and high-speed Ethernet); size interconnects and topology for GPU-accelerated workloads
Create detailed BOMs, rack elevations, cable/power plans, PDU layouts, and facility-fit analyses (power, cooling, rack density, liquid cooling considerations)
Build and run POCs/demos, run benchmarks, tune systems, and document results and recommendations
Prepare technical content for RFI/RFP responses, risk assessments, and implementation plans
Collaborate cross-functionally with sales, engineering, product management, services, and partners to ensure deliverability and commercial alignment
Mentor junior presales engineers and maintain reusable presales collateral and demonstration playbooks
Represent the organization at customer sites, partner labs, and industry events as required

Qualification

HPC/AI architectureGPU-accelerated clustersInfiniband networkingHigh-speed EthernetBOM productionFacility-level assessmentsScripting/automationCluster schedulersVendor reference architecturesCustomer interactionsCommunicationMentoringCross-functional teamworkCreativity

Required

Bachelor's degree in computer science, Electrical/Computer Engineering, or equivalent practical experience, with demonstrated hands-on work on HPC/AI clusters
Proven experience designing and validating GPU-accelerated clusters (NVIDIA preferred) including compute/node sizing, networking (InfiniBand and high-speed Ethernet), and storage considerations
Demonstrable facility-level skills: producing BOMs, rack elevations, power/cooling/PDUs and cabling plans, and performing facility-fit assessments (rack density, liquid cooling, P2P cabling)
Hands-on POC and performance validation experience (benchmarking/tuning) plus scripting/automation skills (Python, Bash, or similar) is a plus
Strong written/verbal communication for customer deliverables

Preferred

Familiarity with cluster schedulers and storage (Slurm, PBS, Lustre, Weka, Vast)
Experience with vendor reference architectures (e.g., NVIDIANCP), orchestration (Kubernetes for AI), or hybrid cloud HPC integrations
Prior presales experience: RFI/RFP responses, proposals, and customer-facing demos
Relevant industry certifications (networking, storage, or vendor-specific)
Benchmarking and performance tuning for AI training/inference
Experience with systems integrators, OEMs, or hyperscale data-center environments

Company

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