Johns Hopkins University
Skills: Python
IT@JH Research Computing is seeking a HPC Scientific Software Engineer to support faculty, researchers, and students engaged in high-performance and AI-driven research across Johns Hopkins University(https://himalayas.app/companies/johns-hopkins-university). The position is responsible for deploying, optimizing, and maintaining scientific software and computational workflows on advanced HPC Systems and related infrastructure. Working primarily within Linux-based environments, the engineer manages and troubleshoots complex software stacks, containerized applications, and GPU-accelerated workloads using tools such as SLURM, Easy build, Spack, etc. The role combines ticket-based user support with long-term project work, collaborating closely with interdisciplinary research groups to enhance system performance, streamline data-intensive workflows, and integrate cutting-edge technologies. The position operates with significant independence while coordinating regularly with systems engineers and research computing leadership to ensure reliable, high-efficiency computing resources that advance the university’s scientific mission.
Specific Duties & Responsibilities
Software Deployment and Design (15%)
Develop and refine deployment strategies for scientific software on HPC and AI systems. Design computational workflows, selecting optimal software configurations, and utilizing tools like Ansible for automation. Assist teams in implementing, tuning, and optimizing AI models and gateway applications (e.g., XDMoD, Coldfront, Open OnDemand, CryoSPARC Live, SBGrid, AI Agents).
Performance Optimization (20%)
Analyze and optimize the performance of AI models and HPC applications, focusing on GPU-enabled computing. Implement parallel processing, distributed computing, and resource management techniques for efficient job execution.
Integration and Optimization (15%)
Develop, debug, and maintain software tools, libraries, and frameworks supporting HPC and AI workloads. Collaborat …truncated……
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