IT AI System Admin

We are seeking a highly skilled Unix System Administrator to manage, maintain, and optimize infrastructure supporting advanced Agentic AI systems built on the NVIDIA AI Enterprise platform. This role blends traditional Unix/Linux administration with modern AI/ML infrastructure operations, requiring expertise in GPU-accelerated environments, automation, and distributed systems.

You will play a critical role in ensuring reliability, scalability, and performance of autonomous AI agents and their supporting pipelines across on-prem and/or cloud environments.

• Administer and maintain Unix/Linux systems (RHEL, Ubuntu, or similar) in high-performance computing (HPC) and AI environments
• Manage GPU-enabled servers and clusters optimized for AI workloads
• Install, configure, and maintain software components within the NVIDIA AI Enterprise stack
• Monitor system performance, availability, and security across environments

• Support deployment and lifecycle management of Agentic AI systems (autonomous agents, orchestration frameworks, inference pipelines)
• Ensure high availability and fault tolerance for AI agents operating in production
• Collaborate with AI engineers to optimize runtime environments for Agentic AI related workloads

• Develop and maintain automation scripts (Bash, Python) for provisioning, configuration, and monitoring
• Implement Infrastructure as Code (IaC) using tools such as Terraform or Ansible
• Support CI/CD pipelines for AI model deployment and updates
• Integrate observability tools (Prometheus, Grafana, ELK stack) for system and AI workload monitoring

• Manage containerized workloads using Docker and Kubernetes
• Deploy and maintain GPU-aware Kubernetes clusters (e.g., NVIDIA GPU Operator)
• Optimize resource allocation for AI workloads across clusters

• Enforce system hardening, patching, and vulnerability management
• Implement access controls and secure configurations for AI environments
• Ensure compliance with organizational and regulatory standards

• Bachelors degree in Computer Science, Information Systems, or related field (or equivalent experience)
• 5+ years of Unix/Linux system administration experience

• Hands-on experience with GPU infrastructure and drivers (CUDA, NVIDIA drivers)
• Experience with the NVIDIA AI Enterprise ecosystem or similar AI platforms
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Ability to work independently and as part of a team, with excellent communication and collaboration skills
• Excellent verbal and written communication skills. Ability to convey technical information to a non-technical audience.
• Ability to work collaboratively in a team environment. Strong interpersonal skills and the ability to build relationships with stakeholders.