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Presales HPC&AI Solutions Architect

ChatGPT Jobs, Three Rivers, Michigan, United States, 49093

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Job Title Presales HPC & AI Solutions Architect

Company Hewlett Packard Enterprise Development LP

Location Three Rivers, MI (Remote/Teleworker)

Employment Type & Seniority Full‑time, Mid‑Senior level

Salary USD Annual Salary: $146,000 – $343,000

Job Description The Presales Consultant – Technical Architect will configure and architect high‑performance HPC and AI solutions for customers, translating their business outcomes into scalable technical architectures that span hardware, software, services, and third‑party components.

Responsibilities

Lead presales technical engagements: gather requirements, translate business outcomes into functional and technical architectures, and present proposals to customers and partners.

Configure hardware clusters for HPC & AI workloads, leveraging Infiniband and Ethernet networking expertise.

Architect end‑to‑end HPC/AI infrastructure, including 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.

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 (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 and verbal communication for customer deliverables.

Preferred Qualifications

Familiarity with cluster schedulers and storage (Slurm, PBS, Lustre, Weka, Vast).

Experience with vendor reference architectures (e.g., NVIDIA Center Package), 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).

Nice‑to‑Have

Benchmarking and performance tuning for AI training/inference.

Experience with systems integrators, OEMs, or hyperscale data‑center environments.

Additional Skills Accountability, Active Learning, Active Listening, Assertiveness, Bias, Building Rapport, Buyer Personas, Coaching, Complex Sales, Creativity, Critical Thinking, Cross‑Functional Teamwork, Customer Experience Strategy, Customer Interactions, Design Thinking, Empathy, Financial Acumen, Follow‑Through, Growth Mindset, Identifying Sales Opportunities, Industry Knowledge, Intellectual Curiosity, Long‑Term Planning, Managing Ambiguity

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