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Remote Graduate Mechatronics Engineer Jobs in Virginia

KEYENCE

Field Application Engineer

Vienna, VA · On-site +1

$54.30K - $81.04K/yr

Whether you're a recent graduate or early in your career, this is your opportunity to grow with a ... Provide on-call, on-site and remote technical support, training, and troubleshooting * Travel ...

Dewberry

Mechanical Engineer

Fairfax, VA · On-site +1

We value flexibility and understand the needs of modern professionals, so opportunities for remote ... Whether you're an experienced professional or a new graduate, you'll have the chance to collaborate ...

ID.me

Staff Software Engineer - Data Platform

Mclean, VA · On-site +1

$217.57K - $260K/yr

Bachelor's or Graduate degree in Computer Science, Software Engineering, or a related technical ... Certain roles -- such as field-based sales or other remote-by-design positions -- may have ...

asrcfh

Senior Data Engineer - Lakehouse (Remote)

Reston, VA · On-site +1

$110.30K - $149.80K/yr

ASRC Federal Technology Solutions is seeking a Business Intelligence Data Engineer - Lakehouse / ML ... Pursuing Associate's, Bachelor's, or Graduate Degrees * Obtaining industry-standard professional ...

New

Lightshift Energy

Project Developer

Arlington, VA · On-site +1

$75K - $95K/yr

We will consider remote employment for well qualified candidates and as long as there is overlap ... Requirements The ideal candidate will be a recent college graduate (either undergraduate or ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site +1

Research / Scientific The postdoctoral researcher will work at the Hydrologic Innovation and Remote ... Strong skills in technical programming languages, e.g., Matlab, Python, or C++; in computational ...

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

To thrive as a Remote Graduate Mechatronics Engineer, you need a solid background in mechanical, electrical, and software engineering, typically supported by a relevant engineering degree. Familiarity with CAD software, programming languages (such as Python or C++), and simulation tools like MATLAB/Simulink is crucial, along with any certifications in robotics or automation. Strong problem-solving abilities, effective communication, and self-motivation are vital soft skills, especially when working remotely. These competencies ensure you can design, analyze, and troubleshoot complex systems efficiently while collaborating across distributed teams.

How does a Remote Graduate Mechatronics Engineer typically collaborate with multidisciplinary teams while working off-site?

As a Remote Graduate Mechatronics Engineer, you’ll regularly collaborate with teams across mechanical, electrical, and software disciplines using digital communication tools such as video conferencing, shared design platforms, and project management software. You’ll participate in virtual meetings to discuss project requirements, share design updates, and resolve technical challenges. Building strong communication skills and being proactive in providing status updates are essential for effective teamwork in a remote setting. Most organizations also provide mentorship and regular check-ins to help remote graduate engineers integrate with the team and grow professionally.

What does a Remote Graduate Mechatronics Engineer do?

A Remote Graduate Mechatronics Engineer is an entry-level professional who works from a remote location to design, develop, and maintain systems that combine mechanical, electrical, and computer engineering. Their tasks may include assisting in the creation of automation equipment, robotics, or smart devices, often collaborating with teams via digital platforms. They typically analyze data, run simulations, and troubleshoot issues while learning industry standards and best practices.
What are the most commonly searched types of Graduate Mechatronics Engineer jobs in Virginia? The most popular types of Graduate Mechatronics Engineer jobs in Virginia are:
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Remote Graduate Mechatronics Engineer jobs near you

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 12 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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