HPC/AI Infrastructure Engineer

K20s Kinetic Technologies

Key Responsibilities:

• Deploy, configure, and manage NVIDIA Base Command Manager for orchestrating GPU workloads (critical).
• Implement and maintain NVIDIA AI Enterprise Suite to support enterprise-grade AI frameworks.
• Operate and optimize NVIDIA GPU and Network Operators within Kubernetes environments.
• Utilize NVIDIA NIMs and Blueprints to streamline AI model deployment and infrastructure automation.
• Administer and scale Slurm workload manager for HPC job scheduling (critical).
• Manage vanilla Kubernetes clusters, ensuring high availability and resource efficiency.
• Maintain and secure systems running on Canonical Ubuntu OS, including patching and performance tuning.

Required Skills & Qualifications:

• Strong expertise with NVIDIA GPU technologies and AI infrastructure.
• Hands-on experience with Slurm in HPC environments.
• Proficiency in Kubernetes cluster administration.
• Deep knowledge of Linux (Ubuntu) system administration.
• Familiarity with network operators and GPU scheduling in containerized environments.
• Ability to troubleshoot complex distributed systems.

Preferred Skills:

• Experience with automation tools (e.g., Ansible, Terraform).
• Knowledge of cloud-native architectures and hybrid HPC/AI deployments.
• Familiarity with observability tools (Prometheus, Grafana).
• Background in AI/ML workflows and performance optimization.