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.
RequirementsRequired 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.
- 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.
Top Skills
What We Do
DeepSource stands as a trusted partner for businesses seeking cutting-edge AI services in computer vision, natural language processing, and predictive analytics. With a particular focus on Arabic NLP and ChatGPT bot development, DeepSource is dedicated to empowering companies with groundbreaking solutions that streamline operations, optimize workflows, and enhance user experiences. Our commitment to excellence is evident in our approach to addressing a wide range of AI needs, from hiring top talent and managing end-to-end AI projects to providing tailored consulting and comprehensive training programs. DeepSource's team of experts is equipped with extensive knowledge and experience in various AI technologies, which enables them to develop and deploy advanced solutions across multiple industries. Our adaptive strategies and innovative methodologies allow businesses to stay competitive in today's rapidly evolving digital landscape
