Senior AI HPC Cluster Engineer

Job Summary

A company is looking for a Senior AI-HPC Cluster Engineer - MLOps.

Key Responsibilities

• Lead the management of large-scale HPC systems, including compute, networking, and storage deployment
• Develop scalable automation solutions for GPU-accelerated computing ecosystems
• Support researchers with workload management, performance analysis, and optimizations

Required Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, or related field, or equivalent experience
• Minimum of 8+ years of experience in large-scale compute infrastructure
• Experience with AI/HPC job schedulers and orchestrators (e.g., Slurm, K8s, LSF)
• Proficient in Linux (Centos/RHEL, Ubuntu) and container technologies (e.g., Docker, Podman)
• Proficiency in one scripting language (Python, Bash) and one compiled language (Golang, Rust, C, C++)