Presales Workstation Technologist – Advanced Compute Solutions

Responsibilities

Si le interesa solicitar este empleo, por favor, asegúrese de cumplir los siguientes requisitos que se enumeran a continuación.

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• 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

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• 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. xqbhyrx
  
• Experience optimizing AI/ML inference performance and/or GPU‑accelerated workstation workflows.
  

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