HPC/AI Infrastructure Engineer

We are seeking a highly skilled HPC/AI Infrastructure Engineer to design, deploy, and manage advanced high-performance computing and AI environments in KSA. The ideal candidate will work with NVIDIA GPU technologies, Kubernetes, and Linux systems to ensure performance, scalability, and reliability across GPU-accelerated clusters.

Key Responsibilities:

• Deploy, configure, and manage NVIDIA Base Command Manager for GPU workload orchestration (critical).
• Implement and maintain the NVIDIA AI Enterprise Suite for enterprise AI/ML frameworks.
• Operate and optimize NVIDIA GPU Operator and NVIDIA Network Operator within Kubernetes.
• Utilize NVIDIA NIMs and Blueprints for automated AI model deployment and infrastructure acceleration.
• Administer and scale Slurm Workload Manager for HPC job scheduling (critical).
• Manage vanilla Kubernetes clusters, ensuring high availability, security, and efficient GPU resource utilization.
• Maintain and secure systems running on Canonical Ubuntu OS, including patching and performance tuning.

Required Skills & Qualifications:

• Strong expertise with NVIDIA GPU technologies and AI infrastructure.
• Hands-on experience with Slurm in HPC environments.
• Proficiency in Kubernetes cluster administration.
• Deep knowledge of Linux (Ubuntu) administration and troubleshooting.
• Familiarity with GPU/Network Operators in containerized systems.
• Ability to troubleshoot complex distributed systems.

Location: Riyadh, Saudi Arabia (On-site)

Work Conditions: Full-time