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 Primary Responsibilities Essential Duties and 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