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). Experience with cluster management, workload schedulers (e.g., Slurm), and distributed or parallel file systems (e.g., GPFS, Lustre, WekaFS, Ceph). Strong background in programming or scripting (Python, Bash
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, parallel execution, and distributed training or simulation workloads. Ensure high reliability of research workflows through robust monitoring, logging, and performance analysis systems. Guide the integration
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Internal Number: 119199-en_US We are seeking a Sr. Research Data Analyst who will build complex data models and conduct complex data analysis in support of research projects, programs, and/or studies
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large-scale parallel filesystems, high-speed InfiniBand/Ethernet fabrics, containerized workloads, and GPU-accelerated compute. Partnering closely with the Director and HPC Architect, the manager shapes
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. The position is responsible for ensuring successful delivery of high-quality technical solutions that meet expectations of our Hopkins Enterprise constituents by leading a variety of programs and