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. 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
The successful candidate(s) for this position will be subject to a pre-employment background check.
If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711.
The following additional provisions may apply depending on which campus you will work. Your recruiter will advise accordingly.
During the Influenza ("the flu") season, as a condition of employment, The Johns Hopkins Institutions require all employees who provide ongoing services to patients or work in patient care or clinical care areas to have an annual influenza vaccination or possess an approved medical or religious exception. Failure to meet this requirement may result in termination of employment.
The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.
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