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Remote Research Software Engineer Jobs in Maryland

Archesys Inc

AI Software Engineer

Baltimore, MD · Remote

$100K - $135K/yr

This is a fully remote, full-time position offering the opportunity to work on emerging AI ... Innovation & Research * Evaluate emerging AI frameworks, tools, and technologies. * Prototype new ...

Harris

MACC, a division of Harris; is seeking a Software Engineer who is skilled and has expertise in ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Booz Allen Hamilton, Inc.

Software Engineer

Annapolis, MD · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0243588 Location: Annapolis Junction,MD,US Share job via: Share Software Engineer The Opportunity: As a full stack developer, you can resolve a problem with a complete ...

Marriott

FLEX Manager, Software Engineer

Bethesda, MD · On-site +1

Perform research, analysis, design, creation, and implementation of applications to meet current ... Remote positions. Marriott International is the world's largest hotel company, with more brands ...

NTT DATA Services

IoT / Edge Software Engineer

Bethesda, MD · Remote

$68K - $141K/yr

We are currently seeking a IoT / Edge Software Engineer to join our team in Bethesda (REMOTE), Maryland (US-MD), United States (US). Job Summary: The IoT Edge Software Engineer is responsible for the ...

NTT DATA Services

IoT / Edge Software Engineer

MD · Remote

$68K - $141K/yr

We are currently seeking a IoT / Edge Software Engineer to join our team in Bethesda (REMOTE), Maryland (US-MD), United States (US). Job Summary: The IoT Edge Software Engineer is responsible for the ...

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Infographic showing various Remote Research Software Engineer job openings in Maryland as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution.

HPC Scientific Software Engineer (IT@JH Research Computing)

Johns Hopkins University

Baltimore, MD • On-site, Remote

$203K/yr

Full-time

Re-posted 21 days ago

Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 205 frontline employees who took The Breakroom Quiz

231st of 890 rated healthcare providers

Job description

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

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