MAG Aerospace
Overview
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. This is a Hybrid Position - Remote mainly - but also 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 consider candidates living near our satellite offices in: Aberdeen, MD Titusville, FL Newport News, VA Carthage, NC 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 Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Aviation and Aerospace Component Manufacturing Referrals increase your chances of interviewing at MAG Aerospace by 2x Get notified about new Robotics Engineer jobs in Fairfax, VA.
#J-18808-Ljbffr
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. This is a Hybrid Position - Remote mainly - but also 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 consider candidates living near our satellite offices in: Aberdeen, MD Titusville, FL Newport News, VA Carthage, NC 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 Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Aviation and Aerospace Component Manufacturing Referrals increase your chances of interviewing at MAG Aerospace by 2x Get notified about new Robotics Engineer jobs in Fairfax, VA.
#J-18808-Ljbffr