Senior AI Infrastructure & Platform Engineer - Riyadh,KSA

DeepSource Technologies; Saudi Arabia; On-site; SAR 200,000 - 300,000; Full time

Job summary

A technology solutions provider is seeking a Senior AI Infrastructure & Platform Engineer in Riyadh. This role involves building and optimizing GPU-based AI infrastructure, managing compute clusters, and collaborating with data science teams. Candidates should have strong experience with Nvidia tools, Slurm orchestration, and Linux system administration. Excellent troubleshooting skills are essential. The position offers the opportunity to work in a cutting-edge environment.

Qualifications

• Proven experience managing GPU-based AI/ML infrastructure and compute clusters.
• Strong experience with Slurm and/or Kubernetes orchestration.
• Excellent troubleshooting and performance-tuning skills.

Responsibilities

• Deploy, maintain, and optimize GPU-based compute clusters and infrastructure.
• Monitor and troubleshoot infrastructure performance.
• Document architecture, configurations, and operational procedures.

Skills

Management of GPU-based AI/ML infrastructure

Experience with Nvidia Base Command Manager

Experience with Slurm orchestration

Solid Linux system administration skills

Scripting/automation abilities

Troubleshooting skills

Tools

Nvidia AI Enterprise Suite

Kubernetes

Bash

Python

Terraform

Ansible

Job description

Role Overview

We are seeking a highly skilled Senior AI Infrastructure & Platform Engineer to join our client’s team in Riyadh. In this role, you’ll be responsible for building, managing, and optimizing scalable AI infrastructure and compute environments that support high-performance workloads, including GPU‑accelerated AI/ML pipelines, cluster scheduling, and orchestration.

Key Responsibilities

• Deploy, maintain, and optimize GPU‑based compute clusters and infrastructure.
• Manage and operate GPU orchestration tools and platforms such as Nvidia Base Command Manager (critical), Nvidia AI Enterprise Suite, Nvidia GPU and Network Operators, Nvidia NIMs and Blueprints.
• Configure, deploy, and maintain compute workloads using scheduling and orchestration tools including Slurm (critical) and Vanilla Kubernetes.
• Install, configure, and maintain the underlying OS (e.g., Canonical Ubuntu) and supporting system software.
• Monitor and troubleshoot infrastructure performance, availability, and reliability; ensure high uptime for AI/ML workloads.
• Work with data scientists, ML engineers, and dev teams to define infrastructure requirements, resource allocation, and deployment workflows.
• Develop automation scripts, CI/CD pipelines, and best practices for infrastructure provisioning and management.
• Document architecture, configurations, and operational procedures; enforce security, compliance, and backup policies.
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Required Skills & Experience

• Proven experience managing GPU‑based AI/ML infrastructure and compute clusters.
• Hands‑on experience with Nvidia Base Command Manager, Nvidia AI Enterprise Suite, Nvidia GPU/Network Operators, NIMs, Blueprints.
• Strong experience with Slurm and/or Kubernetes orchestration.
• Solid Linux system administration skills — preferably on Ubuntu or similar distributions.
• Strong scripting/automation ability (e.g., Bash, Python, or relevant tooling) for provisioning, deployment, and maintenance.
• Excellent troubleshooting and performance‑tuning skills.
• Experience collaborating with ML/data science teams and integrating infrastructure with their workflows.
• Strong understanding of networking, security, resource allocation, and cluster management best practices.

Preferred Qualifications

• Previous experience working in a high‑performance computing (HPC) or AI‑focused infrastructure team.
• Knowledge of containerization, container orchestration, and GPUs in cloud or on‑prem environments.
• Experience with CI/CD, infrastructure‑as‑code (e.g., Terraform, Ansible), monitoring tools, and logging setups.
• Familiarity with workload scheduling, job queuing, resource quotas, and GPU‑shared environments.