Description

You will maintain and optimize the infrastructure supporting AI as a Service (AIaaS) and high-performance computing workloads.

Responsibilities

• Manage and optimize GPU-based compute environments for AI workloads.
• Oversee containerization strategies and orchestration tools for AI applications.
• Troubleshoot and resolve hardware, software, and performance-related infrastructure issues.
• Collaborate with AI engineers, DevOps, and infrastructure teams to improve system efficiency.
• Support platforms including Penguin Computing, Nimbix, PBS Works, Rescale, and Adaptive Computing.

Required Skills

• 5+ years of experience in AI infrastructure and high-performance computing (HPC) environments.
• Proficiency in managing and optimizing GPU clusters.
• Hands-on experience with Docker and Kubernetes.
• Experience with AI workload orchestration and job scheduling.
• Knowledge of automation and scripting using Python and Bash.
• Experience with cloud-based AI infrastructure solutions.
• Ability to diagnose and troubleshoot complex hardware and software issues.
• Any Graduate degree.

Preferred Skills

• Experience with AIaaS platforms and enterprise AI deployment.
• Understanding of networking and storage solutions specifically for AI workloads.

Key Skills

Education

Any Graduate