AI/ML HPC Cluster Engineer

Job Summary

A company is looking for an AI/ML HPC Cluster Engineer to join their MARS team.

Key Responsibilities

• Support day-to-day operations of production on-premises and multi-cloud AI/HPC clusters
• Directly administer internal research clusters, conduct upgrades, and improve reliability
• Analyze and optimize cluster efficiency, job fragmentation, and GPU waste

Required Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, or related field, or equivalent experience
• Minimum 2+ years of experience administering multi-node compute infrastructure
• Background in managing AI/HPC job schedulers like Slurm, K8s, or PBS
• Proficient in administering Centos/RHEL and/or Ubuntu Linux distributions
• Experience with cluster configuration management tools and container technologies