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Hewlett Packard Enterprise logo
Hewlett Packard Enterprise

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world.

Presales HPC & AI Solutions Architect

Solutions EngineerSolutions EngineerOtherRemoteSeniorTeam 10,001+Since 2015H1B SponsorCompany SiteLinkedIn

Location

Massachusetts + 1 moreAll locations: Massachusetts | Texas

Posted

116 days ago

Salary

$146K - $343K / year

Seniority

Senior

Bachelor DegreeEnglishPython

Job Description

Presales HPC & AI Solutions Architect

Hewlett Packard Enterprise

• 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

Job Requirements

  • Bachelor’s degree in computer science, Electrical/Computer Engineering, or equivalent practical experience
  • Proven experience designing and validating GPU‑accelerated clusters (NVIDIA preferred)
  • 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 programs
  • Personal & Professional Development opportunities
  • Unconditional Inclusion initiatives

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