Senior AI Infrastructure & Platform Engineer

Responsibilities

• Deploy, maintain, and optimize GPU-based compute clusters and infrastructure
• Manage and operate GPU orchestration tools including Nvidia Base Command Manager and Nvidia AI Enterprise Suite
• Configure and maintain compute workloads using Slurm or Kubernetes orchestration
• Install and maintain underlying operating systems, specifically Canonical Ubuntu
• Monitor and troubleshoot infrastructure performance to ensure high uptime for AI/ML workloads
• Collaborate with data scientists and ML engineers to define resource allocation and deployment workflows
• Develop automation scripts and CI/CD pipelines for infrastructure provisioning

Requirements

• Proven experience managing GPU-based AI/ML infrastructure and compute clusters
• Hands-on experience with Nvidia Base Command Manager and Nvidia AI Enterprise Suite
• Strong experience with Slurm and/or Kubernetes orchestration
• Solid Linux system administration skills, preferably on Ubuntu
• Strong scripting and automation ability using Bash or Python
• Excellent troubleshooting and performance-tuning skills
• Strong understanding of networking, security, and cluster management best practices

Preferred Qualifications

• Previous experience in a high-performance computing (HPC) or AI-focused infrastructure team
• Knowledge of containerization and GPUs in cloud or on-prem environments
• Experience with Infrastructure-as-Code tools such as Terraform or Ansible
• Familiarity with workload scheduling, job queuing, and GPU-shared environments

About the Company

DeepSource Technologies provides advanced technological solutions and infrastructure support to drive innovation in the AI and machine learning sectors.