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.
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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
