Responsibilities

- 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.
- 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.
- 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.

Qualifications





- 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.
- Experience with NVIDIA Omniverse, simulation/visualization pipelines, and/or digital twin workflows.
- Background in HPC, industrial edge, robotics, or automation workloads.
- Certifications such as NVIDIA DLI, or cloud AI certifications (AWS/GCP/Azure), or equivalent.
- Experience optimizing AI/ML inference performance and/or GPU‑accelerated workstation workflows.

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📌 Presales Workstation Technologist – Advanced Compute Solutions (San Cugat del Vallés)
🏢 Jobtailor
📍 San Cugat del Vallés