HPC Scientific Software Engineer (IT@JH Research Computing)

Job Details

Johns Hopkins, founded in 1876, is America's first research university and home to nine world-class academic divisions working together as one university.

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. The position is responsible for deploying, optimizing, and maintaining scientific software and computational workflows on advanced HPC Systems and related infrastructure.

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.
• Performance Optimization (20%)
  • Analyze and optimize the performance of AI models and HPC applications, focusing on GPU-enabled computing.
• Integration and Optimization (15%)
  • Develop, debug, and maintain software tools, libraries, and frameworks supporting HPC and AI workloads.
• HPC Scientific Software Support (30%)
  • Manage and support scientific software deployment across HPC, cloud-based, and colocation facilities.
• Collaboration and Mentorship (5%)
  • Work closely with cross-functional teams, including researchers, data scientists, and software developers.
• Technical Support and Training Workshops and Troubleshooting (15%)
  • Resolve complex technical issues and perform root cause analysis for HPC/AI software challenges.
• Learning and Development (5%)
  • Stay current with advances in HPC and AI technologies and methodologies.
• Container Orchestration (5%)
  • Develop and manage container orchestration strategies to ensure scalability, reliability, and security of applications.
• Documentation and Compliance (5%)
  • Create comprehensive documentation for system designs, performance metrics, and project status.

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.

Preferred Qualifications

• PhD in a quantitative discipline, such as Computer Science Engineering, Physics, Bioinformatics, or related fields, with advanced training in scientific computing.