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Solutions Architect – AI Factory (North Africa)

nvidia · Dubai

Senior 🇬🇧 English
datacenter infrastructure distributed systems high-performance networking storage cluster management AI/HPC workload orchestration GPU-accelerated computing

Job description

About the role

We are looking for a Solutions Architect – AI Factory to join NVIDIA’s team in North Africa. In this role you will connect real‑world customer workloads to NVIDIA’s hardware and software ecosystem, helping developers and enterprises adopt and scale our platforms.

Key responsibilities

  • Lead technical discovery with customer architects, engineers, and executives to understand business goals, AI/HPC workloads, performance requirements, security constraints, and deployment environments.
  • Design end‑to‑end AI Factory solutions spanning compute, networking, storage, cluster management and workload orchestration.
  • Guide customers through adoption of NVIDIA’s full‑stack platform, run proof‑of‑concepts, workshops, demos and architecture solution reviews.
  • Partner with sales account managers to shape technical strategy, qualify opportunities, develop solution proposals and secure wins.
  • Lead technical design reviews, bills of materials, deployment plans, readiness assessments and handoffs to implementation teams.
  • Build and grow trusted technical relationships with engineers, architects, IT leaders and executives at strategic accounts.

Required profile

  • BS, MS or PhD in Computer Science, Engineering or related field (or equivalent experience).
  • 5+ years in senior technical roles such as Solutions Architect, Systems Architect, AI/ML Platform Engineer or Technical Consultant.
  • Proven track record designing, deploying or operating AI and HPC infrastructure at enterprise scale.
  • Strong communication skills and ability to travel across North Africa (≈20% of time).

Required skills

  • Datacenter infrastructure design and implementation.
  • Distributed systems and high‑performance networking.
  • Storage solutions and cluster management.
  • AI/HPC workload orchestration and GPU‑accelerated computing.
  • Experience with MEP systems used in AI Factory construction (cooling, power distribution, plumbing).

Questions fréquentes

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Source : ats:workday

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Published 1 week ago

Expires 1 month from now

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nvidia

Dubai