Senior AI Infrastructure & Platform Engineer - KSA at DeepSource Technologies

Riyadh, Riyadh Region, Saudi Arabia -

Full Time

Start Date

Immediate

Expiry Date

01 Mar, 26

Salary

0.0

Posted On

01 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Infrastructure, GPU Management, Nvidia Base Command Manager, Nvidia AI Enterprise Suite, Slurm, Kubernetes, Linux Administration, Scripting, Automation, Troubleshooting, Networking, Security, Resource Allocation, Cluster Management, CI/CD, Infrastructure-as-Code

Industry

IT Services and IT Consulting

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) 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. 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.

Responsibilities

The Senior AI Infrastructure & Platform Engineer will build, manage, and optimize scalable AI infrastructure and compute environments. Responsibilities include deploying and maintaining GPU-based compute clusters and collaborating with data scientists and ML engineers.