About the Role

We are seeking a customer‑facing, hands‑on Workstation Technologist to serve as the presales subject‑matter expert for the HP Workstation portfolio, spanning GPU‑accelerated platforms, RTX‑powered systems, edge AI workstations, and enterprise workstation solutions. You will translate customer workloads into right‑sized architectures, lead technical discovery through proof‑of‑concept, and help customers deploy and optimise mission‑critical solutions.

Key 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.
- Build PoCs in customer environments; define test plans, run experiments, and document results.
- Conduct performance modelling, benchmarking, tuning, and optimisation 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.

Success in the First 6–12 Months





- Deliver a repeatable discovery and architecture approach for top target workloads.
- Complete 3–6 customer workshops and 2–4 PoCs with documented results, configurations, and recommendations.
- Publish at least 2 reference architectures or playbooks adopted by the field.
- Establish benchmarking baselines for key HP workstation configurations and common customer frameworks.
- Provide actionable field feedback to Product/Engineering with clear priority, customer impact, and technical rationale.

Location & Travel

Location: Barcelona, UK, Spain, US, and Morocco. Travel: up to 25–40% depending on territory needs for customer/partner engagements, workshops, and on‑site PoCs.

Qualifications – Required

- 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.





Qualifications – Preferred

- 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.

Key Competencies

- Customer‑first problem solving; ability to translate ambiguous needs into testable requirements and architectures.
- Executive‑ready communication: clear storytelling, crisp tradeoffs, and confident recommendations.
- Independent ownership of complex solution design, PoC delivery, and technical risk management.
- Collaborative mindset across Sales, Alliances, Product, and Engineering; bias for reusable assets and scale.

Benefits

- Health, dental, and vision insurance.
- Long‑term and short‑term disability insurance.
- Employee assistance program.
- Flexible spending account.
- Life insurance.
- Generous time‑off policies; 4–12 weeks fully paid parental leave based on tenure; 13 paid holidays; additional adaptable paid vacation and sick leave.

Disclaimer

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

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📌 Presales Workstation Technologist - Advanced Compute Solutions (Barcelona)
🏢 HP
📍 Barcelona