Senior HPC AI Cluster Engineer

Responsibilities

• Design, implement, and maintain large-scale HPC and AI clusters with comprehensive monitoring solutions
• Manage Linux job schedules and utilize orchestration tools for workload efficiency
• Develop and sustain continuous integration and delivery pipelines for software deployment
• Automate deployment and management of large-scale infrastructure environments
• Deploy monitoring solutions for servers, networks, and storage systems
• Troubleshoot systems from the bare metal level to application software
• Document and define standard methodologies for team-wide knowledge sharing
• Support R&D initiatives and engage in POCs/POVs for innovative improvements

Qualifications

• Degree in Computer Science, Engineering, or a related field with 8+ years of experience
• Expertise in HPC and AI technologies encompassing CPUs, GPUs, and fast interconnects
• Proficiency with job scheduling and orchestration tools, especially Slurm and K8s
• Advanced knowledge of Windows and Linux networking and security protocols
• Experience with diverse storage solutions such as Lustre and GPFS
• Strong programming skills in Python and bash scripting
• Familiarity with automation tools such as Jenkins, Ansible, Puppet, and Chef
• Deep understanding of networking protocols such as InfiniBand and Ethernet