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Embedded System Validation Engineer Jobs in Virginia

ITW Avery Weigh-Tronix

Embedded Software Engineer

VA

$130K - $171K/yr

... • Validate successive software versions to ensure proper integration with system hardware. • ... in embedded programming languages (e.g., C/C++), version control (Git/Github) and real-time ...

JRC Careers

Embedded Software Developer

Dahlgren, VA · On-site

JRC is seeking an Embedded Software Engineer to design, develop, and test embedded software and ... Conduct unit testing, integration testing, and performance validation. * Analyze system logs ...

SCCI

Embedded Design Engineer

King George, VA · On-site

In this role, you will develop weapon control system code for multiple projects across the Battle ... Write test cases, unit testing and validation of hardware software integration * Work in a fast ...

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Embedded System Validation Engineer information

What is the difference between Embedded System Validation Engineer vs Firmware Test Engineer?

AspectEmbedded System Validation EngineerFirmware Test Engineer
CredentialsBachelor's in Electrical, Computer Engineering, or related; certifications like ISTQB are commonBachelor's in Computer Science, Electrical Engineering; similar certifications often used
Work EnvironmentHardware and software testing in embedded systems, often in labs or manufacturingSoftware testing of firmware, mainly in development or testing labs
Industry UsageAutomotive, consumer electronics, industrial automationConsumer electronics, IoT devices, embedded systems
Common Search/ComparisonYesYes

The Embedded System Validation Engineer focuses on validating both hardware and software components of embedded systems, ensuring overall system functionality. In contrast, the Firmware Test Engineer primarily tests the firmware or software running on embedded devices. While both roles require similar technical skills and certifications, their focus areas differ: validation of entire systems versus software-specific testing.

What are Embedded System Validation Engineers?

Embedded System Validation Engineers are professionals responsible for testing and verifying that embedded systems—specialized computing systems within larger devices—function correctly and meet design specifications. They develop and execute validation plans, create test cases, and use debugging tools to identify hardware and software issues. Their work ensures the reliability, safety, and performance of products such as automotive systems, medical devices, and consumer electronics. Collaboration with design and development teams is crucial to address any detected issues before product release.

What are some common challenges faced by Embedded System Validation Engineers during product testing?

Embedded System Validation Engineers often encounter challenges such as debugging complex hardware-software interactions, managing limited access to prototypes, and ensuring thorough test coverage across various hardware configurations. Collaborating closely with firmware developers and hardware designers is essential to identify and resolve issues efficiently. Additionally, staying updated with new validation tools and methodologies can be necessary to address evolving technology and product requirements.

What are the key skills and qualifications needed to thrive as an Embedded System Validation Engineer, and why are they important?

To excel as an Embedded System Validation Engineer, a strong background in embedded systems, electronics, and programming languages like C/C++ is essential, typically supported by a degree in electrical engineering or a related field. Familiarity with validation tools, oscilloscopes, logic analyzers, version control systems, and test automation frameworks is commonly required. Analytical thinking, problem-solving, and effective communication are vital soft skills for diagnosing complex issues and collaborating with cross-functional teams. These abilities ensure comprehensive system validation, high product quality, and successful integration in complex hardware-software environments.
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What cities in Virginia are hiring for Embedded System Validation Engineer jobs? Cities in Virginia with the most Embedded System Validation Engineer job openings:
Embedded System Validation Engineer jobs near you
Infographic showing various Embedded System Validation Engineer job openings in Virginia as of July 2026, with employment types broken down into 1% Internship, 92% Full Time, 5% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.
Embedded Systems & Robotics Engineer

Embedded Systems & Robotics Engineer

MAG Aerospace

Fairfax, VA • On-site

Full-time

Re-posted 14 days ago

Job description

Position Summary
MAG is staffing for an Embedded Systems & Robotics Engineer who will bridge the critical hardware-software boundary for autonomous tactical systems. You'll modify and enhance systems and solutions that operate independently in GPS-denied environments, from underwater vehicles to aerial swarms, while ensuring reliability in the harshest conditions.
US Citizens Only
Former US Defense Contractor / US Gov / US Military Experience Only
This is a Hybrid Position - Remote mainly - but as well on call to come into a MAG office when requested.
We are seeking candidates who live in proximity to our corporate HQ in Fairfax, VA primarily but will entertain persons living near our satellite offices in:
Aberdeen, MD - Titusville, FL - Newport News, VA - Carthage NC
Essential Duties and Responsibilities
Primary Responsibilities
  • Enhance or augment embedded software for autonomous vehicles (UGV, UAV, UUV, USV) to extend baseline capabilities
  • Implement sensor fusion for autonomous navigation (LIDAR, cameras, IMU, sonar)
  • Design control systems for robotic platforms and actuators
  • Create hardware abstraction layers following MOSA/SOSA standards
  • Develop digital twin simulations for hardware-in-the-loop testing
  • Implement real-time operating systems (RTOS) and safety-critical software
  • Develop and verify safety-critical software in accordance with established standards and best practices
  • Design and fabricate custom hardware solutions using 3D printing and rapid prototyping
  • Apply Model-Based Systems Engineering (MBSE) practices using SysML/AADL
Secondary Responsibilities
  • Lead field testing and validation of autonomous systems
  • Support deployment and troubleshooting in operational environments
  • Create hardware test fixtures and validation procedures
  • Document MOSA compliance and interface specifications
  • Train operators on system capabilities and limitations

Requirements
Experience:
Required Qualifications
  • 5+ years embedded systems and/or robotics development experience
  • Strong proficiency in C and C++ for real-time for resource-constrained systems
  • Expert proficiency and practical knowledge of Python for scripting, tooling, and rapid prototyping
  • Experience with ROS/ROS2 for robotics development
  • Hands-on experience with autonomous vehicle platforms
  • Proficiency with CAD tools and 3D printing/fabrication
  • Understanding of control theory and path planning algorithms
  • Experience with hardware communication protocols (CAN, I2C, SPI, UART)
  • Familiarity with MOSA/SOSA standards and open architectures
  • Experience with simulation tools (Gazebo, MATLAB/Simulink)
Preferred Qualifications
  • Experience with NVIDIA Jetson platforms for autonomous systems
  • Military/defense robotics experience (ROS-M, JAUS)
  • Hands-on experience with RTOS (e.g., FreeRTOS, VxWorks) and/or embedded Linux (Yocto, Buildroot)
  • Knowledge of digital twin technologies and real-time simulation
  • Familiarity with DO-178C, DO-254, or similar safety standards
  • Experience with swarm robotics and distributed control
  • Understanding of SLAM and computer vision for navigation
  • Experience with environmental testing (MIL-STD-810)
  • Pilot's license or experience with FAA Part 107 operations

Education:
  • Bachelor's degree in EE, CE, ME, CS or related field

Clearance:
  • Must be eligible for Secret security clearance
  • US Citizenship required

Special Note
What Makes You Successful Here
  • You can go from CAD design to functioning prototype in days
  • You understand autonomy from sensors to behavior planning
  • You apply systems engineering rigor to rapid prototyping
  • You're comfortable with both lab development and field operations
  • You see MOSA as an enabler, not a constraint

Apply