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Remote Research Engineer Jobs in Edgewater, MD (NOW HIRING)

YO AI Labs

CUDA Engineering Expert - Remote

Washington, DC · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

New

10a Labs

Red Teaming Fellowship

Washington, DC · On-site +1

$32.50/hr

Fellows work alongside researchers, engineers, and subject-matter experts to identify ... Remote work (based in the continental U.S.) * Flexible schedule, up to 20 hours per week ...

Astrion

Flight Software Engineer

Washington, DC · On-site +1

$105K - $155K/yr

Citizenship, DoD Secret Clearance TRAVEL: 10% (if remote)   Astrion is seeking a Flight Software Engineer to support small satellite flight software development for the Air Force Research ...

Booz Allen Hamilton, Inc.

Fusion Engineer

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0244132 Location: Washington,DC,US Share job via: Share Fusion ... Research and Development (R&D) programs. Your insights will also help inform our clients about ...

Booz Allen Hamilton, Inc.

Fusion Engineer

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0240478 Location: Washington,DC,US Share job via: Share Fusion ... Research and Development (R&D) programs. Your insights will also help inform our clients about ...

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All JobsResearch Engineer JobsRemote Research Engineer JobsRemote Research Engineer Jobs in Edgewater, MD

Remote Research Engineer information

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$35.9K

$102.9K

$138.3K

How much do remote research engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote research engineer in Edgewater, MD is $102,897.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $100,900.00 per year, depending on experience, location, and employer.

What is a remote research engineer?

A Remote Research Engineer is a professional who conducts research and develops new technologies, algorithms, or solutions while working remotely. They typically work in fields like artificial intelligence, machine learning, software development, or scientific research. Their responsibilities include designing experiments, analyzing data, and collaborating with teams using digital communication tools. This role requires strong problem-solving skills, self-motivation, and proficiency in programming or research methodologies. Remote Research Engineers often contribute to cutting-edge advancements while maintaining flexibility in their work environment.

What skills and qualifications are needed to thrive as a remote research engineer?

A Remote Research Engineer typically needs a strong background in scientific research methods, programming, data analysis, and a relevant degree in engineering or a related field. Familiarity with statistical software, cloud-based collaboration tools, and experience with programming languages such as Python or MATLAB are often required, with additional certifications in machine learning or data science considered advantageous. Excellent written and verbal communication, problem-solving abilities, and self-motivation are key soft skills for success in remote environments. These competencies enable effective independent work, high-quality research output, and seamless collaboration within distributed teams.

What are some unique challenges faced by remote research engineers and how can they be overcome?

Remote Research Engineers often encounter challenges related to collaborating across different time zones, ensuring clear communication, and maintaining access to necessary data or computational resources. To overcome these issues, it's important to leverage project management tools, establish regular virtual meetings, and proactively document and share research findings with the team. Strong time management and self-discipline are also essential to balance deep-focus research tasks with collaborative discussions. Organizations usually provide virtual platforms and cloud infrastructure to support seamless work, but developing personal workflows for communication and resource access can further enhance effectiveness in the role.

Do you need a PhD to be a remote research engineer?

A PhD is not strictly required to be a remote research engineer, but many roles prefer candidates with advanced degrees in relevant fields such as engineering, computer science, or data science. Practical experience, strong technical skills, and proficiency with research tools and programming languages are often more important for these positions.

What cities near Edgewater, MD are hiring for Remote Research Engineer jobs?

Cities near Edgewater, MD with the most Remote Research Engineer job openings:

Remote Research Engineer jobs near you

HPC Scientific Software Engineer (IT@JH Research Computing)

Johns Hopkins University

Baltimore, MD • On-site, Remote

$203K/yr

Full-time

Re-posted 14 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

190th of 620 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

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About Johns Hopkins University

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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

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