HPC Engineer

- Design, implement, configure, and manage medium-scale HPC clusters and their associated storage systems. - Monitor system health, performance indicators, and resource usage to ensure peak operation. - Establish strong security measures and perform regular maintenance, including upgrades and patching. - Diagnose complex hardware and software problems in a multi-user research environment. - Oversee job scheduling and optimize workloads using tools such as SLURM. - Manage parallel file systems (e.g., ceph, IBM Spectrum Scale/GPFS) and storage solutions. - Design and execute innovative HPC solutions to meet evolving research needs. - Develop and maintain automation scripts and tools to enhance system administration. - Optimize scientific applications and computational workflows to improve performance. - Implement container technologies (Docker, Singularity) to enable reproducible research. - Support GPU computing and accelerator technologies for specialized workloads. - Define and monitor performance metrics to ensure effective resource utilization. - Collaborate closely with researchers to understand computational needs and devise technical solutions. - Work with network, security, and data center teams to ensure cohesive operations. - Cultivate and maintain relationships with external vendors and technology partners. - Engage with the HPC community to stay abreast of emerging technologies and best practices. - Act as a technical advisor on infrastructure planning and technology roadmaps. - Prepare thorough documentation for systems, policies, and procedures. - Develop user guides and training materials for researchers using HPC resources. - Provide mentorship to junior staff and facilitate knowledge sharing across teams. - Conduct workshops and training sessions to promote effective use of HPC resources.