Presales Workstation Technologist – Advanced Compute Solutions
hace 1 día
Sant Cugat del Vallès
Responsibilities Si le interesa solicitar este empleo, por favor, asegúrese de cumplir los siguientes requisitos que se enumeran a continuación. • 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. xcskxlj, • Experience optimizing AI/ML inference performance and/or GPU‑accelerated workstation workflows. #J-18808-Ljbffr