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.#J-18808-Ljbffr

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