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Scientific Computing Jobs in Baltimore, MD (NOW HIRING)

SAIC

Junior Scientific Technician

College Park, MD · On-site

$40K - $80K/yr

SAIC supports the FDA and their scientists in Scientific Computing which includes but is not limited to; technical, laboratory, and research aspects. Independent, motivated individuals with strong ...

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Cymertek

HPC Software Engineer

Annapolis Junction, MD · On-site

SIMILAR CAREER TITLES High-Performance Computing Engineer, Parallel Computing Engineer, Computational Scientist, HPC Systems Engineer, Software Optimization Engineer, Supercomputing Specialist ...

Cymertek

HPC Software Architect

Annapolis Junction, MD · On-site

... Scientific Computing Architect, Performance Engineering Architect, GPU Computing Architect, Numerical Computing Architect, Scalable Systems Architect, Data-Intensive Computing Architect, HPC ...

SAIC

Junior Scientific Technician

College Park, MD · On-site

$40K - $80K/yr

SAIC supports the FDA and their scientists in Scientific Computing which includes but is not limited to; technical, laboratory, and research aspects. Independent, motivated individuals with strong ...

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Scientific Computing information

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How much do scientific computing jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for scientific computing in Baltimore, MD is $31.28, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 and $39.90 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of someone working in Scientific Computing?

Professionals in Scientific Computing typically spend their days developing and optimizing computational models, writing code to analyze large datasets, and running simulations on high-performance computing systems. They often collaborate closely with scientists, researchers, or engineers to interpret results and improve methodologies. Depending on the industry, they may also be responsible for documenting workflows, troubleshooting complex issues, and staying current with technological advances in their field. Daily work often involves problem-solving, technical meetings, and the continuous improvement of algorithms and computational processes.

What are the key skills and qualifications needed to thrive in the Scientific Computing position, and why are they important?

To thrive in Scientific Computing, you need a strong background in mathematics, computer science, and scientific principles, often supported by a relevant degree such as physics, engineering, or computational science. Proficiency with programming languages like Python, C++, or MATLAB, experience with high-performance computing (HPC) systems, and familiarity with scientific software and libraries are typically essential. Excellent problem-solving abilities, teamwork, and clear communication skills are important soft skills for this role. These skills enable professionals to develop efficient computational solutions, collaborate effectively across multidisciplinary teams, and drive progress in research and innovation.

What is a Scientific Computing job?

A Scientific Computing job involves using advanced computational methods, algorithms, and mathematical modeling to solve complex scientific and engineering problems. Professionals in this field develop and optimize software, perform simulations, and analyze large datasets to support research in disciplines like physics, biology, and engineering. They often work with high-performance computing (HPC) systems and programming languages such as Python, C++, or Fortran. These roles are commonly found in academia, government research labs, and industries like aerospace, pharmaceuticals, and finance.

What are the most commonly searched types of Scientific Computing jobs in Baltimore, MD? The most popular types of Scientific Computing jobs in Baltimore, MD are:
What are popular job titles related to Scientific Computing jobs in Baltimore, MD? For Scientific Computing jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Scientific Computing jobs in Baltimore, MD look for? The top searched job categories for Scientific Computing jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Scientific Computing jobs? Cities near Baltimore, MD with the most Scientific Computing job openings:
Scientific Computing jobs near you
Infographic showing various Scientific Computing job openings in Baltimore, MD as of July 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $65,056 per year, or $31.3 per hour.

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

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Company rating: 7.5 out of 10

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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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