Senior HPC / Infrastructure Engineer

Location: Riyadh, Saudi Arabia

Employment Type: Full-Time

Experience: 10+ Years (Hands-On)

Position Overview

We are seeking a highly experienced Senior HPC / Infrastructure Engineer with proven expertise in designing, deploying, and operating enterprise-scale High-Performance Computing (HPC) and AI infrastructure environments. This role is ideal for a hands-on technical leader who has built and managed production-grade HPC platforms, GPU clusters, Kubernetes ecosystems, and AI infrastructure from the ground up.

The successful candidate will play a critical role in architecting, optimizing, and maintaining mission-critical compute environments that support advanced AI/ML, data science, and high-performance workloads.

Required Certifications

• RHCE – Red Hat Certified Engineer (Active)
• CKA – Certified Kubernetes Administrator (Active)

Core Technical Expertise

HPC & NVIDIA AI Ecosystem

• NVIDIA Base Command Manager (BCM)
• NVIDIA AI Enterprise
• NVIDIA GPU Operator & Network Operator
• NVIDIA NIM Inference Services
• NVIDIA AI Blueprints
• CUDA, GPU Drivers, and Performance Optimization

Compute & Container Platforms

• Kubernetes (Architecture, Operations & Scaling)
• Slurm Workload Manager
• Distributed Computing Environments

Operating Systems

• Red Hat Enterprise Linux (RHEL)
• Ubuntu LTS (Canonical)

Automation & DevOps

• CI/CD Pipeline Design & Implementation
• Infrastructure Automation
• Platform Lifecycle Management
• Configuration Management & Orchestration

Key Responsibilities

• Design, deploy, and operate large-scale HPC and AI infrastructure environments from bare metal through workload orchestration.
• Architect and manage NVIDIA GPU platforms, including BCM, AI Enterprise, GPU Operator, and AI service enablement.
• Configure, optimize, and maintain Slurm scheduling environments for high-throughput and GPU-intensive workloads.
• Design and operate highly available Kubernetes clusters supporting AI/ML, analytics, and containerized workloads.
• Enable and support NVIDIA NIM services and AI Blueprint deployments for enterprise AI initiatives.
• Administer and optimize RHEL and Ubuntu environments, ensuring stability, security, and performance.
• Develop and maintain infrastructure automation frameworks and CI/CD pipelines for platform and application deployment.
• Optimize performance across compute, GPU, storage, networking, and cluster resources.
• Implement monitoring, observability, alerting, capacity planning, and operational best practices.
• Enforce security, patch management, access controls, and compliance standards across the infrastructure stack.
• Lead troubleshooting, root cause analysis, and resolution of complex infrastructure and platform issues.

Candidate Profile

• 10+ years of hands-on experience in HPC, Linux infrastructure, and enterprise platform engineering.
• Proven track record of building and operating production-scale HPC, GPU, or AI infrastructure environments.
• Deep expertise in Kubernetes, Slurm, Linux administration, and NVIDIA AI technologies.
• Strong understanding of distributed systems, workload scheduling, cluster management, and performance optimization.
• Experience supporting AI/ML, data science, and high-performance computing workloads at scale.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work across infrastructure, platform, automation, and AI enablement domains.
• Demonstrated ownership mindset with a history of delivering reliable, scalable, and high-performing solutions.