Presales HPC & AI Solutions Architect

Yesterday

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Logo of Hewlett Packard Enterprise

Hewlett Packard Enterprise

Enterprise • Hardware • SaaS

Hewlett Packard Enterprise is a global technology leader providing innovative IT solutions to empower businesses. HPE offers a comprehensive portfolio of products and services, including the HPE GreenLake edge-to-cloud platform, which delivers a hybrid cloud experience enabling businesses to manage workloads across private and public clouds seamlessly. Additionally, the company specializes in supercomputing, networking, and storage solutions, along with AI and data analytics capabilities to drive productivity and operational efficiency. HPE is committed to helping organizations enhance their digital transformations while securing data and optimizing IT infrastructure.

10,000+ employees

Founded 2015

🏢 Enterprise

🔧 Hardware

☁️ SaaS

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health & Wellbeing • Personal & Professional Development • Unconditional Inclusion

Apply Now

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