Presales Workstation Technologist – Advanced Compute Solutions

Role Overview

• Customer Engagement & Technical Discovery
• Lead discovery with enterprise customers to understand workloads, success criteria, constraints, and deployment environments.
• Deliver technical workshops, whiteboard sessions, and demos tailored to AI acceleration and advanced workstation workflows.
• Act as the primary presales technical authority for the HP Advanced Compute / Workstation portfolio.
• Solution Architecture, Validation & Proof of Concept
• Design end-to-end architectures that integrate GPU compute, storage, networking, and edge-to-cloud orchestration where applicable.
• Provide architecture guidance for AI inference, simulation, visualization, and digital twin enablement; evaluate fit for adjacent workloads (HPC/industrial/robotics) as needed.
• Build PoCs in customer environments; define test plans, run experiments, and document results.
• Conduct performance modeling, benchmarking, tuning, and optimization across Linux/Windows workstation configurations.
• Enablement, Assets & Field Feedback
• Create and maintain reference architectures, deployment guides, and repeatable playbooks that scale across the field.
• Partner with Sales, Product, Engineering, and Alliance teams to share field insights, influence roadmap priorities, and improve solution packaging.
• Success in the First 6–12 Months
• Deliver repeatable discovery + architecture approach for top target workloads (AI inference acceleration, simulation/visualization, digital twins).
• Complete 3–6 customer workshops and 2–4 PoCs with documented results, configurations, and recommendations.
• Publish at least 2 reference architectures or playbooks that are adopted by the field.
• Establish benchmarking baselines for key HP workstation configurations and common customer frameworks.
• Provide actionable field feedback to Product/Engineering with clear priority, customer impact, and technical rationale.

Requirements

• 5+ years in presales engineering, solution architecture, advanced computing, GPU systems, workstation architecture, and/or edge AI platforms.
• Bachelor’s degree (or equivalent practical experience) in Engineering, Computer Science, Data Science, or related field
• Strong Linux and Windows troubleshooting and performance-tuning skills for workstation-class systems.
• Ability to build and execute PoCs: define test plans, run benchmarks, interpret results, and communicate tradeoffs.
• Excellent communication skills with the ability to present to both technical and executive audiences.
• Experience with HP Advanced Compute solutions and workstation portfolio positioning (preferred).
• Experience with NVIDIA Omniverse, simulation/visualization pipelines, and/or digital twin workflows (preferred).
• Background in HPC, industrial edge, robotics, or automation workloads (preferred).
• Certifications such as NVIDIA DLI, or cloud AI certifications (AWS/GCP/Azure), or equivalent (preferred).
• Experience optimizing AI/ML inference performance and/or GPU-accelerated workstation workflows (preferred).

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform
• Linux

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including;
• 4-12 weeks fully paid parental leave based on tenure
• 13 paid holidays
• Additional flexible paid vacation and sick leave (US benefits overview [https://hpbenefits.ce.alight.com/])