Presales Workstation Technologist – Advanced Compute Solutions
Hace 13 horas
cataluna, Catalonia, España
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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).
* 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).