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Remote Design Verification Engineer Jobs in Virginia

Principal Electrical Systems Engineer

Herndon, VA · On-site +1

$142K - $174K/yr

... remote sensing technologies for demanding spaceflight applications. This position is ideal for an ... Responsibilities Lead the electrical architecture, design, and technical execution of complex ...

Systems Engineer

Chantilly, VA · On-site +1

$120K - $160K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Systems Engineer to work ... systems analysis and design, interface and data architectures, validation, and verification.

$101K - $131K/yr

... remote or isolated sites. You must be able to travel on military and commercial aircraft for ... to verify and document existing structural conditions as a basis for the design of facility ...

ELECTRICAL ENGINEER

Quantico, VA · On-site +1

$121K - $158K/yr

You will direct in-house teams, design agencies, and/or contractors responsible for studies; design ... To learn more about E-Verify, including your rights and responsibilities, visit e-verify.gov

Systems Engineer Principal

Chantilly, VA · On-site +1

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an experienced ... Participate in design reviews to uphold the customer's interests * Provide expert advice related to ...

Engineer Lead (Dynamics 365) - Remote

Mclean, VA · On-site +1

$103K - $136K/yr

Engineer Lead This is a remote position. Ad Hoc is a technology company that empowers organizations ... At Ad Hoc, remote life empowers our teams to design work environments that fit their lives and that ...

Engineer Lead (Dynamics 365) - Remote

Mclean, VA · Remote

$103K - $136K/yr

Engineer Lead This is a remote position. Ad Hoc is a technology company that empowers organizations ... At Ad Hoc, remote life empowers our teams to design work environments that fit their lives and that ...

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Remote Design Verification Engineer information

What are some common challenges faced by Remote Design Verification Engineers, and how can they be addressed?

Remote Design Verification Engineers often encounter challenges related to communication and collaboration, especially when working with global teams across different time zones. Maintaining clear and frequent communication through project management tools and regular video meetings is essential. Additionally, ensuring access to secure and reliable simulation environments can be a hurdle, so familiarity with remote access protocols and cloud-based verification tools is beneficial. Proactively documenting verification processes and results also helps keep everyone aligned and facilitates smoother project progress.

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

To thrive as a Remote Design Verification Engineer, you need a solid background in digital design, verification methodologies (such as UVM or SystemVerilog), and a relevant engineering degree. Proficiency in simulation tools (like VCS or ModelSim), scripting languages (Python or Perl), and version control systems is typically required. Exceptional problem-solving abilities, attention to detail, and strong communication skills are crucial for effective collaboration in a remote environment. These competencies ensure accurate verification, efficient workflow, and high-quality deliverables in complex hardware development projects.

What are Remote Design Verification Engineers?

Remote Design Verification Engineers are professionals who work from a remote location to ensure that hardware designs, such as integrated circuits or systems on a chip (SoC), function correctly according to their specifications. They use simulation and verification tools to test digital designs, identify bugs, and work closely with design teams to resolve issues. Their responsibilities often include writing test benches, developing verification plans, and automating tests to improve efficiency. This role requires a strong background in hardware description languages like Verilog or VHDL, as well as experience with verification methodologies such as UVM or SystemVerilog.

What is the difference between Remote Design Verification Engineer vs Remote Test Engineer?

AspectRemote Design Verification EngineerRemote Test Engineer
CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related field; knowledge of verification toolsBachelor's in Electrical Engineering, Computer Engineering, or related field; testing certifications beneficial
Work EnvironmentDesign labs, simulation environments, collaboration with design teamsTesting labs, field testing, collaboration with verification teams
Industry UsageSemiconductors, integrated circuits, hardware design companiesElectronics, hardware manufacturing, embedded systems companies

The Remote Design Verification Engineer focuses on verifying hardware designs through simulation and analysis before manufacturing, ensuring design correctness. In contrast, the Remote Test Engineer primarily tests finished products or prototypes to validate functionality and performance. Both roles require technical expertise and collaboration but differ in their project stages and focus areas.

What are the most commonly searched types of Design Verification Engineer jobs in Virginia? The most popular types of Design Verification Engineer jobs in Virginia are:
What job categories do people searching Remote Design Verification Engineer jobs in Virginia look for? The top searched job categories for Remote Design Verification Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Design Verification Engineer jobs? Cities in Virginia with the most Remote Design Verification Engineer job openings:

Remote Sensing Engineer

Riverside Research Institute

Springfield, VA • On-site, Remote

$97K - $135K/yr

Full-time

Posted 4 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
We are seeking a skilled Remote Sensing Engineer to support the development, analysis, and exploitation of remote sensing data for national security, defense, and geospatial intelligence missions. The ideal candidate has experience working with geospatial datasets, remote sensing technologies, and automation tools, and is comfortable collaborating across multidisciplinary teams to solve complex technical challenges.
An active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance is required for this position.
Responsibilities
  • Process, analyze, and interpret satellite, airborne, and other remotely sensed imagery.
  • Develop and maintain geospatial analysis workflows and automated processing pipelines.
  • Design and implement Python-based tools to support imagery processing, feature extraction, and geospatial analysis.
  • Perform image classification, object detection, change detection, and spatial analysis using commercial and open-source tools.
  • Support sensor calibration, validation, and quality assurance activities.
  • Work closely with engineers, data scientists, and intelligence analysts to develop mission-focused solutions.
  • Prepare technical documentation, reports, and presentations for technical and non-technical audiences.
  • Evaluate emerging remote sensing technologies and recommend improvements to existing workflows.
  • Contribute to project planning, technical discussions, and continuous process improvement initiatives.

Qualifications
Required Qualifications
  • Active TS/SCI security clearance (required).
  • Bachelor's degree in Remote Sensing, Geospatial Science, Geography, GIS, Computer Science, Engineering, Physics, Environmental Science, or a related technical discipline.
  • minimum of 5 years professional experience in remote sensing, geospatial analysis, GIS, or a related engineering field.
  • Experience processing and analyzing satellite, aerial, or other remotely sensed imagery.
  • Proficiency with remote sensing and GIS software such as ArcGIS Pro, QGIS, ENVI, ERDAS Imagine, or similar platforms.
  • Strong Python programming skills for geospatial analysis and workflow automation.
  • Experience with geospatial libraries such as GDAL, Rasterio, GeoPandas, Shapely, or OpenCV.
  • Understanding of raster and vector geospatial data formats and coordinate reference systems.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to manage multiple priorities and work independently in a remote, collaborative environment.
Preferred Qualifications
  • Experience supporting DoD, NGA, NRO, or Intelligence Community programs.
  • Experience with SAR, LiDAR, hyperspectral, multispectral, or thermal imagery.
  • Familiarity with cloud-based geospatial processing environments such as AWS or Azure.
  • Experience with machine learning or computer vision techniques applied to geospatial imagery.
  • Knowledge of containerization technologies such as Docker and modern software development practices.
  • Experience with Git and collaborative software development workflows.

Global Comp
$97,000 - $135,000 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.