Autonomous Systems Engineer: Field Robotics & Localization

Cessna Aircraft Company; Augusta (GA); On-site; USD 110,000 - 140,000; Full time

Job summary

Textron Specialized Vehicles Inc. is seeking an Autonomous Systems Engineer to design and implement localization, planning, and control for autonomous vehicles. You will work on GNSS/RTK, LiDAR, camera and IMU data integration, and optimize real-time performance on embedded platforms.

The role requires a Bachelor’s in Electrical or Software Engineering and at least 2 years of relevant experience, with Python, C++, and ROS2 proficiency. Travel up to 20-30% for field testing is expected.

Qualifications

• Bachelor's degree in Electrical Engineering or Software Engineering required.
• 2+ years of relevant experience required.
• Proficiency in Python and C++ with ROS2 experience.

Responsibilities

• Develop and maintain vehicle localization architecture using GNSS/RTK, LiDAR, visual localization, inertial navigation, and sensor fusion.
• Develop behavior and motion planning, and vehicle control algorithms for autonomous navigation.
• Optimize computational performance, latency, and resource utilization on embedded platforms.
• Integrate autonomous hardware and software with vehicle systems and validate in field conditions.
• Collaborate with cross-functional teams to define features and product requirements.

Skills

Autonomy NAV2

Sensor fusion

Real-time embedded

Debugging in field

Education

Bachelor's in Electrical Engineering

Bachelor's in Software Engineering

Tools

Python

C++

ROS2

CAN

Job description

Textron Specialized Vehicles Inc. is seeking an Autonomous Systems Engineer to design and implement localization, planning, and control for autonomous vehicles. You will work on GNSS/RTK, LiDAR, camera and IMU data integration, and optimize real-time performance on embedded platforms.

The role requires a Bachelor’s in Electrical or Software Engineering and at least 2 years of relevant experience, with Python, C++, and ROS2 proficiency. Travel up to 20-30% for field testing is expected.