Presales Workstation Technologist – Advanced Compute Solutions

Jobtailor; Sant Cugat del Vallès; Presencial; EUR 80.000 - 110.000; Jornada completa

Descripción de la vacante

Jobtailor is seeking a presales engineer to lead discovery with enterprise customers and deliver tailored workshops and demos focused on AI acceleration and advanced workstation workflows.

You will act as the primary presales authority for HP Advanced Compute and workstation portfolios, designing end-to-end architectures and building PoCs in customer environments to demonstrate performance and ROI across Linux/Windows platforms.

Formación

• 5+ years in presales engineering, solution architecture, advanced computing, GPU systems, workstation architecture, and/or edge AI platforms.
• Bachelor’s degree 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 for 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.

Responsabilidades

• 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.

Conocimientos

Presales engineering

Solution architecture

Edge AI platforms

GPU systems

Workstation architecture

Communication

HP Advanced Compute

NVIDIA Omniverse

Industrial HPC/robotics

AI inference optimization

Educación

Bachelor's degree

Herramientas

NVIDIA Omniverse

HP Advanced Compute

Descripción del empleo

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.