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Remote Engineer Jobs in Virginia (NOW HIRING)

Akima

Remote RF Systems Technician

Suffolk, VA · Remote

Akima, LLC is seeking a Remote Engineering Technician to manage RF communication systems for the U.S. Coast Guard's C5I Service Center, requiring up to 25% travel. Applicants must have an active ...

NAVA Software Solutions

Data Engineer - Remote

Richmond, VA · On-site +1

$113.60K - $136.40K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years Experience in the following: Python, Java, Scala, Spark, AirFlow, Javascript/TypeScript * 3+ Years ...

QCi

Job Title Solutions Sales Engineer Location: Hoboken, NJ or Remote with Travel Division : Revenue Department: Customer Success About Us: Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative ...

CGI Inc.

Remote Support Engineer, Junior

Arlington, VA · On-site +1

Remote Support Engineer, Junior Category: Service Desk / End User Services Main location: United States, Virginia, Arlington Position ID:J0925-0625 Employment Type: Full Time Position Description:

Sentara

Data Engineer - Remote

Virginia Beach, VA · Remote

$108.70K - $130.50K/yr

Sentara is hiring a Data Engineer! This is a fully remote position. Work Location: Remote opportunities available in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas ...

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$37.7K

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How much do remote engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for remote engineer in Virginia is $114,871.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,300.00 and $150,200.00 per year, depending on experience, location, and employer.

How to Get a Remote Job as an Engineer?

The primary qualifications for getting a remote job as an engineer are a bachelor's degree in a relevant field and several years of experience in a programming role. Many software engineers spend time in other roles to gain experience before applying for this job, which is a relatively senior programming role. Companies often have specific requests or requirements for software engineers, such as experience with particular types of programming, so diversifying your skills and working with a variety of different systems can help you stand out from other engineers. Fulfilling the responsibilities and duties of a remote software engineer requires communication skills and reliable access to high-speed internet.

What are the key skills and qualifications needed to thrive as a Remote Engineer, and why are they important?

To thrive as a Remote Engineer, you need strong technical expertise in software development, problem-solving abilities, and a relevant degree in computer science or engineering. Familiarity with version control systems (like Git), cloud platforms, and remote collaboration tools such as Slack and Jira is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for remote success. These competencies ensure productivity, effective teamwork, and the ability to deliver high-quality solutions from any location.

How does a Remote Engineer typically collaborate with team members across different time zones?

Remote Engineers often work with colleagues who are spread across various locations and time zones, which requires strong communication and coordination skills. Collaboration is usually facilitated through tools like Slack, Zoom, or Microsoft Teams, with scheduled meetings arranged to accommodate as many team members as possible. It's common to use shared project management platforms and clear documentation to keep everyone aligned. Flexibility and proactive communication are key to ensuring seamless teamwork and project progress, even when direct overlap in working hours is limited.

What is a Remote Engineer?

A Remote Engineer is a professional who designs, develops, tests, and maintains software, systems, or infrastructure while working outside of a traditional office environment, typically from home or another remote location. Remote Engineers use digital tools and communication platforms to collaborate with their teams and manage projects. This role requires strong technical skills, self-motivation, and the ability to work independently. Many technology companies offer remote engineering positions to access a broader talent pool and provide greater flexibility for employees.

What is the difference between Remote Engineer vs Remote Developer?

AspectRemote EngineerRemote Developer
Required CredentialsBachelor's in Engineering, certifications like Cisco, CompTIABachelor's in Computer Science or related, coding certifications
Work EnvironmentDesign, troubleshoot, and maintain systems, often in technical or engineering teamsWrite, test, and deploy software applications, often in development teams
Employer & Industry UsageEngineering firms, tech companies, manufacturingTech companies, startups, software firms
Common Search & Comparison IntentUnderstanding engineering roles in remote settingsComparing software development roles remotely

Remote Engineers focus on designing, maintaining, and troubleshooting technical systems, often requiring engineering-specific credentials. Remote Developers primarily write and develop software applications, with a focus on coding skills. While both roles can be remote and tech-oriented, their core responsibilities and required qualifications differ, catering to different industry needs.

More about Remote Engineer jobs
What are the most commonly searched types of Engineer jobs in Virginia? The most popular types of Engineer jobs in Virginia are:
What are popular job titles related to Remote Engineer jobs in Virginia? For Remote Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Engineer jobs in Virginia look for? The top searched job categories for Remote Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Engineer jobs? Cities in Virginia with the most Remote Engineer job openings:
Remote Engineer jobs near you
Infographic showing various Remote Engineer job openings in Virginia as of May 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 100% Remote job distribution, with an average salary of $114,871 per year, or $55.2 per hour.

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 13 days ago

Job description

Riverside Overview
Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.
Position Overview
Riverside Research's Cognitive Intelligence Solutions Group (CISG) is seeking a Remote Sensing Engineer to support cutting-edge geospatial intelligence, autonomous sensing, and AI/ML-driven data exploitation efforts for the U.S. Department of Defense and Intelligence Community. The successful candidate will serve as a technical lead responsible for the automated verification and validation (V&V), test and evaluation (T&E), and performance assessment of remote sensing data pipelines, AI/ML models, and third-party vendor capabilities. This role bridges rigorous scientific methodology with production-grade engineering, enabling CISG to deliver validated, mission-ready geospatial intelligence products. The ideal candidate combines deep expertise in multispectral and hyperspectral remote sensing with hands-on experience applying machine learning to operational geospatial workflows.
This position is located in Fairfax, VA.
#LI-Onsite
Responsibilities
  • Design, develop, and implement automated V&V and T&E frameworks to assess the accuracy, performance, and operational readiness of remote sensing data products, AI/ML models, and vendor-delivered geospatial capabilities.
  • Lead the technical evaluation of commercial and government remote sensing platforms, sensors (multispectral, hyperspectral, SAR, LiDAR), and associated data products against mission-specific requirements.
  • Develop and maintain scalable, production-grade machine learning pipelines for geospatial applications including change detection, land cover classification, object detection, and environmental monitoring.
  • Apply state-of-the-art AI/ML techniques - including deep learning, transfer learning, self-supervised learning, and large vision/language models - to automate remote sensing data exploitation and analysis workflows.
  • Conduct rigorous uncertainty quantification, validation metric development, and statistical performance benchmarking across multi-source, multi-temporal geospatial datasets.
  • Architect and execute data quality assessment (DQA) protocols for ingested satellite, airborne, and in-situ sensor data; document and communicate findings to program teams and stakeholders.
  • Collaborate with program managers, government customers, and interdisciplinary engineering teams to translate operational requirements into validated technical solutions.
  • Evaluate and integrate emerging remote sensing technologies and open-source AI/ML frameworks; assess vendor claims, algorithm documentation, and technical data packages.
  • Contribute to IRAD initiatives advancing CISG's remote sensing and autonomous sensing capabilities, including development of novel approaches for environmental monitoring, target detection, and geospatial change analytics.
  • Author technical reports, white papers, and briefings documenting methodology, V&V results, and performance findings for government sponsors.
  • Provide technical mentorship to junior engineers and researchers on remote sensing methods, ML best practices, and geospatial data science.
  • Stay current with advances in foundation models, multi-modal geospatial AI, and emerging remote sensing sensor modalities relevant to national security applications.

Qualifications
Required Qualifications:
  • Active U.S. Citizenship (required for all Riverside Research positions).
  • Must be able to obtain and maintain a Top Secret security clearance with SCI access; ability to obtain program-specific clearances as required. Candidates with an active TS/SCI are strongly preferred.
  • Bachelor's degree in Remote Sensing, Geospatial Science, Earth Systems, Electrical Engineering, Computer Science, or a closely related STEM field.
  • A minimum of 8 years of related experience with a Bachelor's degree, 6 years with a Master's degree, 3 years with a PhD, or equivalent combination of education and experience. Graduate research experience counts toward this threshold.
  • Demonstrated expertise in multispectral and/or hyperspectral remote sensing data analysis, including atmospheric correction, spectral indices, spectral unmixing, and feature extraction.
  • Proficiency in Python for geospatial data engineering, including experience with rasterio, rioxarray, xarray, GDAL, geopandas, NumPy, and scikit-learn.
  • Hands-on experience with machine learning and statistical modeling applied to remote sensing or geospatial datasets (e.g., classification, regression, anomaly detection, change detection).
  • Experience developing and executing V&V or T&E processes for data products, software systems, or AI/ML models, including design of test plans, performance metrics, and acceptance criteria.
  • Familiarity with geospatial platforms and tools: ArcGIS Pro, QGIS, ENVI, and/or Google Earth Engine.
  • Experience with cloud-based geospatial workflows (AWS, Google Cloud, or Azure) and version control practices (Git/GitLab/GitHub).
  • Strong written and verbal communication skills with demonstrated ability to present complex technical findings to both technical and non-technical audiences.

Desired / Preferred Qualifications:
  • Active Top Secret/SCI clearance - candidates who already hold an active TS/SCI will be given strong preference and can expect an accelerated onboarding timeline.
  • Experience supporting DoD, Intelligence Community, or national security remote sensing programs (NRO, NGA, AFRL, ARO, or equivalent).
  • Familiarity with hyperspectral sensing platforms (e.g., AVIRIS, PRISMA, orbital hyperspectral systems) and hyperspectral analytics pipelines including mineral characterization and vegetation health assessment.
  • Experience applying deep learning frameworks (PyTorch, TensorFlow, Hugging Face) to geospatial or computer vision tasks, including fine-tuning foundation models or geospatial FMs (e.g., Prithvi, SatMAE, Clay).
  • Background in SAR processing, LiDAR analysis, or multi-modal sensor fusion for environmental or intelligence applications.
  • Experience with automated testing frameworks, CI/CD pipelines, and MLOps practices for geospatial AI/ML systems.
  • Track record of peer-reviewed publication, conference presentations (e.g., IGARSS, AGU, SPIE), or technical reports in remote sensing or geospatial AI.
  • Demonstrated experience in a lead or senior individual contributor role, including mentorship of junior technical staff and coordination across multi-disciplinary teams.
  • Familiarity with GEOINT tradecraft, NSDI standards, or DoD geospatial data standards (NTM, NITF, STANAG imagery formats).

Global Comp
$115,000 - $200,000 This represents the typical compensation range for this position based on experience, location and other factors.
Closing Statement
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.

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