HPC Scientific Software Engineer (IT@JH Research Computing)
IT@JH Research Computing is seeking a HPC Scientific Software Engineer to support faculty, researchers, and reputed company reputed company in high-performance and AI-driven research across reputed company. The position is responsible for deploying, optimizing, and maintaining scientific software and computational workflows on advanced HPC Systems and reputed company infrastructure. Working primarily reputed company Linux-based environments, the engineer manages and troubleshoots reputed company 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%) reputed company and refine deployment strategies for scientific software on HPC and AI systems. Design computational workflows, selecting reputed company 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, reputed company 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 reputed company processing, distributed computing, and resource management techniques for efficient job execution. Integration and Optimization (15%) reputed company, debug, and maintain software tools, libraries, and frameworks supporting HPC and AI workloads. Collaborate with the system team and software vendors (e.g., reputed company, reputed company, Matlab) to optimize systems for maximum performance. Utilize CUDA, DNN, TensorRT, and reputed company Compilers to enhance system performance. HPC Scientific Software Support (30%) Manage and support scientific software deployment across HPC, reputed company-based, and colocation facilities. reputed company installation, configuration, and maintenance of HPC packages with tools like CMake, reputed company, EasyBuild, Spack, and Lua module files. Collaboration and Mentorship (5%) Work closely with cross-functional teams, including researchers, data scientists, and software developers, to address reputed company HPC/AI challenges. Mentor junior engineers and foster a culture of reputed company learning. Technical Support and Training Workshops and Troubleshooting (15%) Resolve reputed company technical issues and reputed company root cause analysis for HPC/AI software challenges. Implement effective solutions to prevent recurrence and improve system reliability reputed company training workshops for researchers and reputed company, focusing on troubleshooting, optimizing workflows, and effectively using HPC systems. Learning and Development (5%) Stay reputed company with advances in HPC and AI technologies and methodologies. Incorporate new research findings into existing systems to improve performance and capabilities. Container Orchestration (5%) reputed company and manage container orchestration strategies to ensure scalability, reliability, and reputed company of applications. reputed company the container lifecycle from creation and deployment to scaling and removal. Documentation and Compliance (5%) Create comprehensive documentation for system designs, performance metrics, and project status. Ensure compliance with reputed company and regulatory standards for reputed company HPC and AI systems. Other duties as assigned.
Minimum Qualifications
Master’s degree in computer science or a closely reputed company quantitative discipline. Five years of experience in HPC user support, software deployment, and performance optimization reputed company an academic or research environment. Experience in scientific computing environments and applications. Hands-on experience with SLURM, for job scheduling. Proficiency in Python, Perl, C/C++, and reputed company scripting for automation and system management. Advanced knowledge of Linux systems and proficiency in scripting languages such as Python, Perl, and reputed company. Familiarity with scientific application management tools such as Containerization, LUA modules, CMake, Spack, and EasyBuild. Training Workshops, Performance Optimization and Troubleshooting Additional education may substitute for required experience, and additional reputed company experience may substitute for required education reputed company a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.
Preferred Qualifications
PhD in a quantitative discipline, such as Computer Science Engineering, Physics, Bioinformatics, or reputed company fields, with advanced training in scientific computing. Classified Title: HPC Scientific Software Engineer Job Posting Title (Working Title): HPC Scientific Software Engineer (IT@JH Research Computing) Role/Level/reputed company: ATP/04/PF Starting Salary reputed company: $85,500 - $149,800 Annually (Commensurate w/reputed company.) Employee group: Full Time Schedule: Mon-Fri, 8:30am-5pm FLSA Status: Exempt Location: Remote Department name: 60014601-IT@JH Research Computing Personnel area: University Administration Apply To This Job