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Resident Engineer – AI/GPU & Compute

Unlock employer Riyadh, Saudi Arabia Posted: 12 Feb 2026

Financial

  • Estimate: $80k - $100k*
  • Zero income tax location

Accessibility

  • Office Only
  • Apply from abroad
  • No Relocation Support
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

We are seeking highly experienced Resident Engineers – AI/GPU & Compute to support a large-scale GPU as a Service (GPUaaS) initiative in KSA. This role requires deep technical expertise in AI infrastructure, high-performance computing (HPC), advanced networking, and enterprise virtualization environments. The selected candidates will provide on-site, hands-on operational support and expert-level troubleshooting within a mission-critical AI/GPU infrastructure environment.

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Location: Riyadh, Saudi Arabia (On-site)

Work Conditions: Full-time, On-site

Key Responsibilities:

  • Provide on-site day-to-day operational support for AI/GPU, compute, and networking environments.
  • Support, operate, and optimize GPU as a Service (GPUaaS) infrastructure.
  • Deliver expert-level troubleshooting across GPU clusters, compute platforms, and networking layers.
  • Support and maintain High-Performance Computing (HPC) environments.
  • Manage and support virtualization platforms and related infrastructure.
  • Provide operational support for XE services and enterprise compute systems.
  • Ensure system stability, performance optimization, and incident resolution.
  • Perform root cause analysis (RCA) and implement preventive measures.
  • Coordinate with customer technical teams and vendors for issue resolution.
  • Conduct structured knowledge transfer sessions for customer engineering teams.
  • Maintain documentation, operational runbooks, and best practices.

Required Technical Expertise:

  • 8–12+ years of experience in enterprise infrastructure, data center operations, or resident engineering roles.
  • Strong hands-on experience with:
    • AI / GPU platforms (NVIDIA or equivalent enterprise GPU environments)
    • High-Performance Computing (HPC) systems
    • Advanced networking for AI/GPU workloads
    • Virtualization technologies (VMware, Hyper-V, or similar)
    • XE services and enterprise compute environments
  • Experience supporting large-scale, mission-critical infrastructure projects.
  • Strong troubleshooting and performance optimization capabilities.
  • Experience in GPU cluster deployment, scaling, and operational support is highly preferred.
  • Ability to work in fast-paced, customer-facing, on-site environments.
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