Jobs · Information Technology · North Carolina

IT AI System Administrator - AI Offerings

Lenovo · North Carolina, United States · 3 wk ago
Information Technology$83/hrFull-time

Responsibilities

  • System Administration
    • 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
    • Maintain system performance, availability, and security across environments
  • Agentic AI Platform Operations
    • 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
  • Automation
    • 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
  • Containerization & Orchestration
    • 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
  • Security Compliance
    • Enforce system hardening, patching, and vulnerability management
    • Implement access controls and secure configurations for AI environments
    • Ensure compliance with organizational and regulatory standards

    Requirements

    • Bachelor's 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
    • Strong scripting skills (Bash, Python)
    • 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.

    Benefits

    Hybrid Schedule on campus in Morrisville, NC. 3 days in office, 2 days work from home.

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