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Autonomous Systems Engineer Jobs in Virginia (NOW HIRING)

Job Title: Systems Engineer Job Category: Engineering Time Type: Full time Minimum Clearance ... You'll have the autonomy to take the time you need through a unique flexible time off benefit and ...

Systems Engineer

Sterling, VA ยท On-site

$79K - $162K/yr

Job Title: Systems Engineer Job Category: Engineering Time Type: Full time Minimum Clearance ... You'll have the autonomy to take the time you need through a unique flexible time off benefit and ...

Principal Systems Engineer

Fairfax, VA ยท On-site

$108K - $200K/yr

This individual is able to work autonomously with only high-level objectives to be effective, is ... Own the systems engineering process on the program and ensure the proper systems analysis and ...

Senior Systems Engineer

Fairfax, VA ยท On-site

$90K - $167K/yr

This individual is able to work autonomously with only high-level objectives to be effective, is ... Own the systems engineering process on the program and ensure the proper systems analysis and ...

Systems Engineer

Sterling, VA ยท On-site

$114K - $252K/yr

Job Title: Systems Engineer Job Category: Engineering Time Type: Full time Minimum Clearance ... You'll have the autonomy to take the time you need through a unique flexible time off benefit and ...

Autonomy System Architect

Newport News, VA ยท On-site

$121K - $148K/yr

In particular, they work with the sensing and computational systems that enable Autonomous ... Confers with Engineers and other personnel to implement operating procedures, resolve system ...

You will be expected to operate with a high degree of autonomy and provide technical leadership to ... Provide systems engineering support to a multidisciplinary team to ensure a cohesive and robust ...

Autonomy Software Engineer

Arlington, VA ยท 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 ...

$155K/yr

Job Title: Systems Engineer Job Category: Engineering Time Type: Full time Minimum Clearance ... You'll have the autonomy to take the time you need through a unique flexible time off benefit and ...

$63K - $127K/yr

Job Title: Systems Engineer Job Category: Engineering Time Type: Full time Minimum Clearance ... You'll have the autonomy to take the time you need through a unique flexible time off benefit and ...

Lead Autonomy Software Engineer

Arlington, VA ยท 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 ...

$155K/yr

Job Title: Systems Engineer Job Category: Engineering Time Type: Full time Minimum Clearance ... You'll have the autonomy to take the time you need through a unique flexible time off benefit and ...

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Autonomous Systems Engineer information

See Virginia salary details

$53K

$126.1K

$165.6K

How much do autonomous systems engineer jobs pay per year?

As of Jul 6, 2026, the average yearly pay for autonomous systems engineer in Virginia is $126,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $155,700.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior autonomous systems engineers, especially those with advanced expertise in robotics, machine learning, and control systems, can earn $300,000 or more annually. High compensation is often associated with experience, specialized skills, leadership roles, and working in industries like aerospace, defense, or autonomous vehicle development.

What does an Autonomous Systems Engineer do?

An Autonomous Systems Engineer designs, develops, and optimizes self-governing systems that operate with minimal human intervention. This includes robotics, self-driving vehicles, drones, and AI-driven automation. They work with sensors, machine learning, control systems, and software to ensure reliable decision-making and adaptability in dynamic environments. Their role often involves testing, simulation, and integration of hardware and software components to improve system efficiency and safety.

How much do autonomous systems engineers make?

Autonomous systems engineers typically earn a median annual salary between $90,000 and $130,000, depending on experience, education, and location. Senior engineers with specialized skills in robotics, machine learning, and sensor integration can earn higher salaries, often exceeding $150,000 annually.

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

To thrive as an Autonomous Systems Engineer, you need strong expertise in robotics, control systems, sensor integration, and proficiency in languages such as Python or C++, often supported by a relevant engineering degree. Familiarity with simulation tools like ROS (Robot Operating System), MATLAB/Simulink, and experience deploying algorithms on embedded hardware are typically required. Effective problem-solving, strong teamwork, and clear communication are standout soft skills in this field. These competencies are crucial for designing reliable autonomous solutions, troubleshooting complex issues, and collaborating across multidisciplinary teams for successful system deployment.

What are some common challenges faced by Autonomous Systems Engineers and how are they addressed?

Autonomous Systems Engineers often encounter challenges such as integrating diverse hardware and software components, achieving robust sensor fusion, and ensuring system reliability in unpredictable environments. Addressing these challenges typically involves rigorous simulation testing, iterative algorithm development, and close collaboration with cross-functional teams in software, hardware, and systems engineering. Engineers must also stay updated with advancements in machine learning and robotics to continually refine and enhance system capabilities. Employers support these efforts through ongoing training, collaborative problem-solving sessions, and investment in advanced prototyping resources.

What engineers make $500,000 a year?

Highly experienced autonomous systems engineers working in specialized fields such as aerospace, defense, or advanced robotics can earn salaries approaching or exceeding $500,000 annually, especially with seniority, advanced skills in AI and machine learning, and leadership roles. Compensation often includes bonuses, stock options, or other incentives in addition to base salary.

What do autonomous systems engineers do?

Autonomous systems engineers design, develop, and test systems that operate independently, such as self-driving vehicles or robotic automation. They work with sensors, algorithms, and control systems, often using programming languages like C++ or Python, and may require knowledge of machine learning, robotics, and embedded systems.
What are the most commonly searched types of Autonomous Systems Engineer jobs in Virginia? The most popular types of Autonomous Systems Engineer jobs in Virginia are:
What job categories do people searching Autonomous Systems Engineer jobs in Virginia look for? The top searched job categories for Autonomous Systems Engineer jobs in Virginia are:
What cities in Virginia are hiring for Autonomous Systems Engineer jobs? Cities in Virginia with the most Autonomous Systems Engineer job openings:

Embedded Systems & Robotics Engineer with Security Clearance

MAG DS Corp dba MAG Aerospace

Fairfax, VA โ€ข On-site

Other

Posted 8 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