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 . 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.
- Collaborate with the system team and software vendors (e.g., NVIDIA, Intel, Matlab) to optimize systems for maximum performance.
- Utilize CUDA, DNN, TensorRT, and Intel Compilers to enhance system performance.
HPC Scientific Software Support (30%)
- Manage and support scientific software deployment across HPC, cloud-based, and colocation facilities.
- Oversee installation, configuration, and maintenance of HPC packages with tools like CMake, Make, 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 complex HPC/AI challenges.
- Mentor junior engineers and foster a culture of continuous learning.
Technical Support and Training Workshops and Troubleshooting (15%)
- Resolve complex technical issues and perform root cause analysis for HPC/AI software challenges.
- Implement effective solutions to prevent recurrence and improve system reliability
- Provide training workshops for researchers and students, focusing on troubleshooting, optimizing workflows, and effectively using HPC systems.
Learning and Development (5%)
- Stay current with advances in HPC and AI technologies and methodologies.
- Incorporate new research findings into existing systems to improve performance and capabilities.
Container Orchestration (5%)
- Develop and manage container orchestration strategies to ensure scalability, reliability, and security of applications.
- Oversee 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 security and regulatory standards for all HPC and AI systems.
Other duties as assigned.
Minimum Qualifications
- Master’s degree in computer science or a closely related quantitative discipline.
- Five years of experience in HPC user support, software deployment, and performance optimization within 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 Shell scripting for automation and system management.
- Advanced knowledge of Linux systems and proficiency in scripting languages such as Python, Perl, and Shell.
- 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 related experience may substitute for required education beyond 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 related 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/Range: ATP/04/PF
Starting Salary Range: $85,500 - $149,800 Annually (Commensurate w/exp.)
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
