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Embedded Systems & Robotics Engineer Security Clearance

Job in Fairfax, Fairfax County, Virginia, 22030, USA
Listing for: MAG DS Corp dba MAG Aerospace
Full Time position
Listed on 2025-10-31
Job specializations:
  • Engineering
    Robotics, Systems Engineer, Embedded Software Engineer
Job Description & How to Apply Below
Position: Embedded Systems & Robotics Engineer with Security Clearance
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
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