ZipRecruiter

Log In

1

Enhanced Computing Solutions Jobs in Rosedale, MD

previous pagenext page

Showing results 21-40

All JobsEnhanced Computing Solutions JobsEnhanced Computing Solutions Jobs in Rosedale, MD

Enhanced Computing Solutions information

See Rosedale, MD salary details

$47.5K

$90.3K

$144.8K

How much do enhanced computing solutions jobs pay per year?

As of Aug 19, 2026, the average yearly pay for enhanced computing solutions in Rosedale, MD is $90,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $110,300.00 per year, depending on experience, location, and employer.

What is enhanced computing solutions?

Enhanced Computing Solutions refer to advanced technology services and products designed to improve the performance, efficiency, and scalability of computer systems and IT infrastructure. These solutions often include cloud computing, high-performance computing, data analytics, cybersecurity, and custom software development. Organizations use enhanced computing solutions to streamline operations, support decision-making, and stay competitive in rapidly evolving technology landscapes.

What are the key skills and qualifications needed to thrive as an enhanced computing solutions specialist?

To excel as an Enhanced Computing Solutions Specialist, you need a strong background in computer science, systems integration, and IT infrastructure, typically supported by a relevant degree and industry certifications such as CompTIA, Cisco, or Microsoft. Familiarity with cloud platforms (e.g., AWS, Azure), virtualization tools, and enterprise software systems is essential. Excellent problem-solving skills, collaboration, and effective communication help professionals stand out in this role. These skills ensure the successful design, implementation, and support of advanced computing solutions that meet organizational needs.

What are some common challenges faced by professionals in enhanced computing solutions roles, and how can they be addressed?

Professionals in Enhanced Computing Solutions often face challenges such as keeping up with rapid technological advancements, integrating new solutions with legacy systems, and ensuring optimal performance and security. Staying current requires continuous learning and attending industry conferences or webinars. Collaboration with cross-functional teams—such as developers, network engineers, and cybersecurity specialists—is crucial for successful project implementation. Proactively communicating and seeking input from team members helps address integration and performance issues efficiently.

What is the difference between Enhanced Computing Solutions vs Network Support Specialist?

AspectEnhanced Computing SolutionsNetwork Support Specialist
CertificationsCompTIA A+, Network+, Cisco CCNACompTIA Network+, Cisco CCNA
Work EnvironmentData centers, enterprise IT departments, technical support teamsNetwork operations centers, IT support teams, client sites
Industry UsageIT services, technology companies, enterprise solutionsTelecommunications, IT services, corporate networks

Enhanced Computing Solutions and Network Support Specialists both work within IT environments, but Enhanced Computing Solutions typically focus on broader hardware and software solutions, while Network Support Specialists concentrate on network infrastructure and connectivity. The roles often overlap in certifications and work settings, but their core responsibilities differ, making each role unique in the tech industry.

What cities near Rosedale, MD are hiring for Enhanced Computing Solutions jobs?

Cities near Rosedale, MD with the most Enhanced Computing Solutions job openings:

Enhanced Computing Solutions jobs near you
Infographic showing various Enhanced Computing Solutions job openings in Rosedale, MD as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $90,325 per year, or $43.4 per hour.

HPC Scientific Software Engineer (IT@JH Research Computing)

Johns Hopkins University

Baltimore, MD • On-site, Remote

$203K/yr

Full-time

Re-posted 12 days ago

Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

188th of 619 rated colleges and universities

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

What Johns Hopkins University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Johns Hopkins University logo

About Johns Hopkins University

Sourced by ZipRecruiter

Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876

View All Johns Hopkins University Jobs

Apply