Autonomous Systems Engineer - Field Testing & ROS2

Find a- Textron; Augusta (GA); On-site; USD 90,000 - 130,000; Full time

Job summary

Textron Specialized Vehicles is seeking an Autonomous Systems Engineer in Augusta, GA to design and implement autonomous navigation, localization, and control systems. You will work on sensor fusion, localization, and integration across vehicle platforms, with emphasis on ROS2 and real-time embedded performance.

Responsibilities include developing planning algorithms, optimizing computation, and coordinating with product strategy to define features for field deployments.

Qualifications

• Bachelor's degree in Electrical or Software Engineering or related field.
• 2+ years of relevant experience.
• Proficiency in Python and C++ with ROS2.
• Experience with sensor fusion and real-time robotic systems.
• Experience with embedded systems and debugging.

Responsibilities

• Develop and maintain vehicle localization architecture using GNSS/RTK, LiDAR, vision localization, inertial nav, and sensor fusion.
• Develop behavior and motion planning algorithms for autonomous navigation.
• Optimize performance, latency, and resources on embedded computer platforms.
• Define system requirements, interface specs, and validation plans.
• Integrate autonomous hardware and software with vehicle electrical, controls, and sensor systems.
• Support field testing and debugging to ensure reliability in real-world conditions.
• Collaborate with cross-functional teams to define features and product requirements.

Skills

NAV2

Sensor fusion

Real-time embedded

ROS2

Python

C++

Debugging

Education

Bachelor's degree in Electrical/Software Engineering or related field

Tools

ROS2

Gazebo

Isaac Sim

Job description

Textron Specialized Vehicles is seeking an Autonomous Systems Engineer in Augusta, GA to design and implement autonomous navigation, localization, and control systems. You will work on sensor fusion, localization, and integration across vehicle platforms, with emphasis on ROS2 and real-time embedded performance.

Responsibilities include developing planning algorithms, optimizing computation, and coordinating with product strategy to define features for field deployments.