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Remote Protocol Engineer Jobs in Virginia (NOW HIRING)

Programming, configuring, and troubleshooting networks \n * Remote network and server ... Mail Transfer Protocol) \n * Connection Services: SOP, RMI, RPC (Remote Procedure Call). \n

$119.92K - $164.89K/yr

This is a remote role anywhere in the US and Canada with less than 25% travel requirements. Tasks ... Proficient in network protocols, includingBGP,OSPF,LISP, MPLS, VXLAN, andEVPN. * Experience ...

$119.92K - $164.89K/yr

This is a remote role anywhere in the US and Canada with less than 25% travel requirements. Tasks ... Proficient in network protocols, includingBGP,OSPF,LISP, MPLS, VXLAN, andEVPN. * Experience ...

Embedded Software Engineer

Herndon, VA · On-site +1

$135.20K - $177.90K/yr

We offer platforms connecting a variety of satellite constellations with an array of remote ... Networking protocols such as TCP/IP, UDP and IPv6 * 509 Certificate and Crypto key management

Embedded Software Engineer

Herndon, VA · On-site +1

$135.20K - $177.90K/yr

We offer platforms connecting a variety of satellite constellations with an array of remote ... Networking protocols such as TCP/IP, UDP and IPv6 * 509 Certificate and Crypto key management

Embedded Software Engineer

Herndon, VA · On-site +1

$135.20K - $177.90K/yr

We offer platforms connecting a variety of satellite constellations with an array of remote ... Networking protocols such as TCP/IP, UDP and IPv6 * 509 Certificate and Crypto key management

Nuvolo Developer (Remote)

Mclean, VA · On-site +1

$54.50 - $75/hr

Job Title: Nuvolo Developer Location: Remote Employment Type: Full-Time About Us: A1FED ... Integrate with external web services via Simple Object Access Protocol (SOAP) and Representational ...

$54.50 - $75/hr

Job Title: Nuvolo Developer Location: Remote Employment Type: Full-Time About Us: A1FED ... Integrate with external web services via Simple Object Access Protocol (SOAP) and Representational ...

Embedded Software Engineer

Ashburn, VA · On-site +1

$134.50K - $176.90K/yr

... protocol. All our products are engineered, hand-built, tested, and serviced in our Carlise, PA ... You'll collaborate with both local engineers and a distributed remote development team to bring ...

Write, review, approve, and execute validation protocols and reports. * Lead and mentor a small ... We define total rewards as compensation, benefits, remote work/flexibility, development ...

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Showing results 1-20

Remote Protocol Engineer information

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

To thrive as a Remote Protocol Engineer, you need a strong background in computer science, network protocols, and distributed systems, often supported by a relevant degree and experience in protocol design. Familiarity with programming languages such as Rust, Go, or C++, as well as tools like Wireshark, Git, and blockchain technologies, is typically required. Strong problem-solving abilities, effective remote communication, and collaborative skills set exceptional candidates apart. These skills ensure the engineer can design, implement, and troubleshoot secure and efficient protocols in decentralized and remote work environments.

What are some common challenges Remote Protocol Engineers face when collaborating with distributed teams?

Remote Protocol Engineers often work with global, cross-functional teams, which can make real-time collaboration challenging due to differing time zones and communication styles. Additionally, ensuring clarity in technical specifications and achieving consensus on protocol changes can be more complex without in-person interactions. Successful engineers in this role usually develop strong written communication skills and leverage collaborative tools to bridge these gaps, fostering productive teamwork despite the remote setup.

What is a Remote Protocol Engineer?

A Remote Protocol Engineer is a specialized software engineer who designs, develops, and maintains network communication protocols while working remotely. Their work ensures that different systems and devices can communicate effectively and securely over networks, such as the internet or internal company systems. They often collaborate with distributed teams, troubleshoot protocol-related issues, and may work on protocols for blockchain, IoT, or traditional networking. This role typically requires strong knowledge of networking concepts, programming languages, and security standards.

What is the difference between Remote Protocol Engineer vs Remote Network Engineer?

AspectRemote Protocol EngineerRemote Network Engineer
Required CredentialsBachelor's in CS or related, certifications like CCNA, CCNPBachelor's in CS, Networking, or related, certifications like CCNA, CCNP
Work EnvironmentDeveloping and testing network protocols, software-focusedDesigning, implementing, and maintaining network infrastructure
Employer & Industry UsageTech companies, networking firms, telecomsIT departments, service providers, enterprise networks
Search & Comparison IntentFocus on protocol development, software skillsFocus on network setup, hardware, and infrastructure

While both roles involve networking expertise, Remote Protocol Engineers primarily develop and test network protocols and software, whereas Remote Network Engineers focus on designing and maintaining network infrastructure. Both require similar certifications and often work in tech or telecom industries, but their daily tasks and focus areas differ.

What are the most commonly searched types of Protocol Engineer jobs in Virginia? The most popular types of Protocol Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Protocol Engineer jobs? Cities in Virginia with the most Remote Protocol Engineer job openings:

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.