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Presales HPC&AI Solutions Architect

Remote / Online - Candidates ideally in
Wisconsin, USA
Listing for: Hewlett Packard Enterprise
Remote/Work from Home position
Listed on 2026-03-11
Job specializations:
  • IT/Tech
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.

Who We Are

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. Our culture thrives on finding new and better ways to accelerate what’s next.

We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description Job Family Definition
  • Configure hardware clusters for HPC & AI workloads using your knowledge of Infiniband and Ethernet networking.
  • Applies advanced knowledge of company hardware products and infrastructure solutions as well as customers' business and technical environment to translate the functional view into a technical view and architect complex solutions that can be scaled to accommodate growth.

Responsible for architecting solutions that will achieve customer business outcomes either within a specific technical domain, or across the broader company portfolio (hardware, software, services, and as a service offerings) in combination with all necessary third-party components (e.g. software and integration). Develops and articulates compelling, accurate, and relevant proposals and ensures customer's business and technical requirements are met. Can be aligned to a specific area of technical expertise (e.g., products, solutions, services).

Provides technical expertise to sales teams and customers (through sales presentations, product/solution demonstrations, etc.) aimed at gaining the customer mindshare within their domain. These jobs focus on technical selling to customers/partners. May be aligned to specific accounts based on business priority.

Management Level Definition

Contributions impact technical components of HPE products, solutions, or services regularly and sustainable. Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. Exercises significant independent judgment to determine best method for achieving objectives. May provide team leadership and mentoring to others.

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 (Infini Band 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.
Education and Experience
  • 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 (Infini Band and high‑speed Ethernet),…
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