ZipRecruiter

Log In

1

Autonomous Systems Jobs in Virginia (NOW HIRING)

Forterra

Autonomy Software Engineer

Arlington, VA · On-site

$120K - $165K/yr

About the role Forterra is seeking a software engineer with a passion for autonomous systems. In this role, you will design, develop, and field software solutions that enable intelligent behavior in ...

Forterra

Lead Autonomy Software Engineer

Arlington, VA · On-site

$150K - $250K/yr

About the role Forterra is seeking a senior software engineer with a passion for autonomous systems. In this role, you will design, develop, and field software solutions that enable intelligent ...

Liebherr

Systems Engineering Lead

Newport News, VA · On-site

Develops mechanical, electrical, hydraulic, and electro-mechanical systems for use on large mining haul trucks and/or large autonomous mining haul trucks. * Performs system calculations and/or ...

SOSi

Senior Software Systems Engineer

Falls Church, VA · On-site

Lead the software integration of advanced autonomy capabilities for mission orchestration, multi ... Coordinate System Eng & Architecture activities with M&S and test activities on a continuous basis ...

next page

Showing results 1-20

All JobsAutonomous Systems JobsAutonomous Systems Jobs in Virginia

Autonomous Systems information

What are the key skills and qualifications needed to thrive in the Autonomous Systems position, and why are they important?

To excel in an Autonomous Systems role, candidates typically need expertise in robotics, computer vision, control systems, and programming languages such as Python or C++, often supported by a degree in engineering, computer science, or a related field. Familiarity with tools like ROS (Robot Operating System), simulation platforms, and relevant certifications (e.g., in AI or machine learning) is highly valued. Strong problem-solving skills, adaptability, and effective teamwork enhance performance in this multidisciplinary environment. These abilities are essential for innovating, troubleshooting, and successfully deploying autonomous solutions in real-world settings.

What is an Autonomous Systems job?

An Autonomous Systems job involves designing, developing, and maintaining self-operating technologies, such as drones, self-driving cars, and robotic systems. Professionals in this field work on AI, machine learning, sensor fusion, and control systems to enable machines to make decisions and operate without human intervention. Roles may include software engineers, roboticists, and data scientists, often collaborating to improve system reliability and efficiency. These jobs are common in industries like defense, transportation, manufacturing, and healthcare.

What are some common challenges faced by professionals working in Autonomous Systems?

Professionals in Autonomous Systems often encounter challenges related to integrating complex hardware and software, ensuring system reliability in dynamic environments, and maintaining safety and compliance with industry standards. Debugging and testing autonomous solutions can be demanding due to unpredictable real-world variables and evolving technical requirements. Collaboration with cross-functional teams is crucial, as roles often involve coordinating with engineers, data scientists, and product managers. Successfully navigating these challenges helps drive innovation and ensures the successful deployment and operation of advanced autonomous technologies.

What are the most commonly searched types of Autonomous Systems jobs in Virginia? The most popular types of Autonomous Systems jobs in Virginia are:
What are popular job titles related to Autonomous Systems jobs in Virginia? For Autonomous Systems jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Autonomous Systems jobs in Virginia look for? The top searched job categories for Autonomous Systems jobs in Virginia are:
Autonomous Systems jobs near you
Infographic showing various Autonomous Systems job openings in Virginia as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.

Embedded Systems & Robotics Engineer with Security Clearance

MAG DS Corp dba MAG Aerospace

Fairfax, VA

Other

Posted 12 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