ph3Responsibilities /h3 ul liLead discovery with enterprise customers to understand workloads, success criteria, constraints, and deployment environments. /li liDeliver technical workshops, whiteboard sessions, and demos tailored to AI acceleration and advanced workstation workflows. /li liAct as the primary presales technical authority for the HP Advanced Compute / Workstation portfolio. /li liDesign end-to-end architectures that integrate GPU compute, storage, networking, and edge-to-cloud orchestration where applicable. /li liProvide architecture guidance for AI inference, simulation, visualization, and digital twin enablement; evaluate fit for adjacent workloads (HPC/industrial/robotics) as needed. /li liBuild PoCs in customer environments; define test plans, run experiments, and document results. /li liConduct performance modeling, benchmarking, tuning, and optimization across Linux/Windows workstation configurations. /li liCreate and maintain reference architectures, deployment guides, and repeatable playbooks that scale across the field. /li liPartner with Sales, Product, Engineering, and Alliance teams to share field insights, influence roadmap priorities, and improve solution packaging.



/li /ul h3Qualifications /h3 ul li5+ years in presales engineering, solution architecture, advanced computing, GPU systems, workstation architecture, and/or edge AI platforms. /li liBachelor’s degree (or equivalent practical experience) in Engineering, Computer Science, Data Science, or related field. /li liStrong Linux and Windows troubleshooting and performance–tuning skills for workstation‑class systems. /li liAbility to build and execute PoCs: define test plans, run benchmarks, interpret results, and communicate tradeoffs. /li liExcellent communication skills with the ability to present to both technical and executive audiences. /li liExperience with HP Advanced Compute solutions and workstation portfolio positioning. /li liExperience with NVIDIA Omniverse, simulation/visualization pipelines, and/or digital twin workflows. /li liBackground in HPC, industrial edge, robotics, or automation workloads. /li liCertifications such as NVIDIA DLI, or cloud AI certifications (AWS/GCP/Azure), or equivalent. /li liExperience optimizing AI/ML inference performance and/or GPU‑accelerated workstation workflows. /li /ul /p #J-18808-Ljbffr

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