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Autonomous Systems Robotics Engineer Jobs (NOW HIRING)

$100 - $125/hr

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 ...

We are seeking a autonomy robotics Engineer to support the development of next-generation ... Design and develop autonomous navigation and mission planning systems for aerial robotic platforms.

$105K/yr

The Tailored Autonomous Systems Group (QPJ) is seeking a Senior Robotics & Autonomous Systems Engineer to provide technical leadership for the design, development, integration, testing, and ...

We are seeking an Autonomy Robotics Engineer to design, develop, and deploy navigation, planning ... Design and develop autonomous navigation and mission planning systems for aerial robotic platforms.

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Autonomous Systems Robotics Engineer information

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$53.5K

$127.2K

$167K

How much do autonomous systems robotics engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for autonomous systems robotics engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What is an autonomous systems robotics engineer?

An Autonomous Systems Robotics Engineer is a professional who designs, develops, and tests robots and automated systems that can operate independently without human intervention. They work on integrating sensors, control algorithms, and artificial intelligence to enable machines to perceive their environment, make decisions, and perform complex tasks. These engineers are often involved in industries such as manufacturing, automotive, aerospace, and logistics, where automation and robotics play a critical role. Their work helps advance technologies like self-driving vehicles, drones, and smart manufacturing systems.

What are the key skills and qualifications needed to thrive as an autonomous systems robotics engineer?

To thrive as an Autonomous Systems Robotics Engineer, you need a strong background in robotics, control systems, computer vision, and programming languages such as C++ or Python, often supported by a degree in robotics, electrical engineering, or computer science. Familiarity with ROS (Robot Operating System), simulation tools like Gazebo, and relevant certifications in AI or machine learning are typically required. Critical thinking, problem-solving, and effective communication set standout professionals apart in collaborative, multidisciplinary environments. These skills and qualities are crucial for designing, implementing, and optimizing autonomous systems that operate safely and efficiently in real-world conditions.

How do autonomous systems robotics engineers typically collaborate with cross-functional teams during a project?

Autonomous Systems Robotics Engineers frequently work alongside software developers, hardware designers, data scientists, and project managers to develop and refine robotic systems. Collaboration often involves regular design reviews, integration sessions, and troubleshooting meetings to ensure that all system components work seamlessly together. Effective communication and documentation are essential, as engineers must clearly convey technical requirements and challenges to team members from diverse backgrounds. This collaborative environment not only helps in resolving complex issues but also fosters innovation and shared learning.

What cities are hiring for Autonomous Systems Robotics Engineer jobs?

Cities with the most Autonomous Systems Robotics Engineer job openings:

What are popular job titles related to Autonomous Systems Robotics Engineer jobs?

For Autonomous Systems Robotics Engineer jobs, the most frequently searched job titles are:

Embedded Systems & Robotics Engineer

Fairfax, VA โ€ข On-site

MAG Aerospace
Aerospace Product and Parts Manufacturingย โ€ขย 1 - 5K employees

Full-time

Re-posted 13 days ago


Job description

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

  • 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

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

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