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Remote Research Engineer Jobs in Virginia (NOW HIRING)

Expert Level Systems Engineer

Chantilly, VA · On-site +1

$135K - $216K/yr

  • PTO

Operations Research * Engineering Management * Management Information Systems * or another related ... Remote sensing * Image science * Geographic Information Systems (GIS) * Geomatics * Information ...

Expert Level Systems Engineer

Chantilly, VA · On-site +1

$135K - $216K/yr

  • PTO

Operations Research * Engineering Management * Management Information Systems * or another related ... Remote sensing * Image science * Geographic Information Systems (GIS) * Geomatics * Information ...

iOS Vulnerability Researcher

Arlington, VA · On-site +1

$59.50 - $82/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Reverse engineering and vulnerability research on userland components on Apple platforms including ... Department Mobile Locations USA Remote status Fully Remote

Senior Level Systems Engineer

Springfield, VA · On-site +1

$109K - $149K/yr

... Research, Engineering Management, Computer Science, Information Technology, Management Information ... Remote sensing * Image science * Information science * Geographic Information Systems (GIS)

Systems Engineer - Senior Level

Springfield, VA · On-site +1

$109K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Operations Research * Engineering Management * Computer Science * Information Technology ... Remote Sensing * Image Science * Information Sciences * Geographic Information Systems (GIS)

Senior Level Systems Engineer

Chantilly, VA · On-site +1

$107K - $146K/yr

... Research, Engineering Management, Computer Science, Information Technology, Management Information ... Remote sensing * Image science * Information science * Geographic Information Systems (GIS)

Senior Level Systems Engineer

Chantilly, VA · On-site +1

$107K - $146K/yr

... Research, Engineering Management, Computer Science, Information Technology, Management Information ... Remote sensing * Image science * Information science * Geographic Information Systems (GIS)

Senior Level Systems Engineer

Springfield, VA · On-site +1

$109K - $149K/yr

... Research, Engineering Management, Computer Science, Information Technology, Management Information ... Remote sensing * Image science * Information science * Geographic Information Systems (GIS)

Showing results 21-40

Remote Research Engineer information

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 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 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.

What are the most commonly searched types of Research Engineer jobs in Virginia?

The most popular types of Research Engineer jobs in Virginia are:

What are popular job titles related to Remote Research Engineer jobs in Virginia?

For Remote Research Engineer jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Remote Research Engineer jobs?

Cities in Virginia with the most Remote Research Engineer job openings:

Infographic showing various Remote Research Engineer job openings in Virginia as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 100% Remote job distribution.

Senior Autonomous Systems Research Scientist

Cmu

Arlington, VA • On-site, Remote

$113K - $144K/yr

Full-time

Re-posted 5 days ago


Job description

Senior Autonomous Systems Research Scientist

As AI-enabled autonomous systems get closer to widespread deployment, fundamental research questions remain around their development and use, especially in high-stakes environments. How can we guarantee systems respond appropriately in critical scenarios? How can we employ collaborative autonomy to maximize mission objectives? What is the appropriate level of autonomy to enable a specific mission?

The AI for Autonomy Lab within the SEI's AI Division is recruiting a Senior Autonomous Systems Research Scientist who has a passion for solving complex problems in real-world, mission-critical environments to tackle questions like these. The lab is focused on the lifecycle of AI-enabled autonomous systems and helping our sponsors apply AI appropriately to increase system effectiveness without adding unacceptable risk.

Position Summary: As a Senior Autonomous Systems Research Scientist you will develop a research agenda and lead/conduct research in support of critical U.S. government needs.

The ideal candidate will have a strong background with hands-on experience solving problems in one or more of the following technology areas:

  • Applied Machine Learning and AI: Research and implement machine learning principles, techniques, and architectures on autonomous systems in varying domains (e.g., air, sea, land).
  • UxV Autonomy: Create tools and techniques for evaluating and explaining AI-enabled autonomous system performance.
  • Collaborative Autonomy: Study AI approaches to motion planning, task planning, mission planning, and command and control to enable effective, resilient, and scalable teaming.
  • Counter-Autonomy: Investigate system development approaches and methods for mitigating vulnerabilities associated with the inclusion of machine learning in autonomous systems.
  • Modeling and Simulation: Use simulation to develop techniques for data-driven evaluation of real-world learning-based autonomous systems.

Duties:

  • Hands-on Research:Lead novel research in applied machine learning and robotics.
  • Solution Development: Lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.
  • Collaboration:Actively participate with researchers, developers, engineers, designers, technical leads, campus labs, and our government customers to understand challenges, needs, and potential solutions.
  • Mentoring: Mentor and teach junior staff, lead technical sessions, and contribute to the establishment of technical norms for the Lab.
  • Intellectual Curiosity: Maintain awareness of the latest in AI-enabled autonomous systems, especially as it pertains to National Security use cases.
  • Technical Communication: Develop and deliver compelling technical presentations for diverse audiences, tailor content for varied stakeholders, speak at conferences and workshops, and publish in pertinent peer-reviewed journals.

Knowledge, Skills, and Abilities

  • A published track record of conducting machine learning and robotics research and applying scientific methods
  • Experience leading research projects and collaborating across research teams and stakeholders
  • Strong written and verbal communication skills; demonstrated ability to convey complex technical ideas to diverse audiences
  • Experience writing and delivering successful research proposals to funding agencies and leading the resulting projects
  • Experience with programming languages such as Python, C/C++, and other pertinent languages and frameworks
  • Familiarity with state of practice, emerging trends and opportunities in industry and government focusing on maritime, land, or space domains
  • Experience working with Department of War and Intelligence Community preferred

Requirements

  • BS in Robotics, Computer Science, Machine Learning, Electrical Engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in the same fields with five (5) years of experience.
  • You will be subject to a background investigation and must be able to obtain and maintain a Department of War security clearance.
  • This position is based onsite 5 days per week at SEI's offices in either Pittsburgh, PA or Arlington, VA.
  • Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Arlington, sponsor sites, conferences, and offsite meetings.

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff - Regular

Full time/Part time

Full time

Pay Basis

SalaryMore Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.

  • Click here to view a listing of employee benefits

  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

  • Statement of Assurance


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About CMU

Sourced by ZipRecruiter

Industry

Offices of mental health practitioners

Company size

201 - 500 Employees

Headquarters location

Harrisburg, PA, US