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# Autonomous Systems Engineer

- **Company:** TEXTRON SYSTEMS
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Software Applications, C++ (Programming Language), Software Debugging, Global Positioning Systems (GPS), Inertial Navigation Systems, Python (Programming Language), Motion Planning, Robotic Automation Software, Sensor Fusion, Software Engineering, Software Requirements Analysis, Systems Integration, Performance Testing, Lidar, GNSS, Programming Languages
- **Published:** August 21, 2026
- **Apply:** https://textron.taleo.net/careersection/textron/jobdetail.ftl?job=344419

## About the Role

* Education: Bachelor's degree in Electrical Engineering, Software Engineering, or other related field required.
 * Years of Experience: 2+ years of relevant experience required.
 * Software Knowledge: Python, C++, or similar programming language required; ROS2 architecture required., * Required Skills: Autonomy stacks such as NAV2. Understand sensor fusion (GPS, IMU, LiDAR, camera). Experience working with real-time embedded or robotic systems. Hands-on debugging and tuning in real-world environments.
 * Preferred Skills: ROS2 (C++/Python) and robotics system integration. Navigation algorithms (A*, DWA, Pure Pursuit, MPC). RTK GPS integration and localization techniques. Vehicle control systems (CAN, drive-by-wire). Simulation integration (Isaac Sim / Gazebo).
 * Travel Requirements:
~20%-30% travel required to field test locations to support vehicle integration, autonomy tuning, performance validation, troubleshooting, and customer pilot deployments.

 * Valid driver's license required.

 * Education: Bachelor's degree in Electrical Engineering, Software Engineering, or other related field required.
 * Years of Experience: 2+ years of relevant experience required.
 * Software Knowledge: Python, C++, or similar programming language required; ROS2 architecture required., * Required Skills: Autonomy stacks such as NAV2. Understand sensor fusion (GPS, IMU, LiDAR, camera). Experience working with real-time embedded or robotic systems. Hands-on debugging and tuning in real-world environments.
 * Preferred Skills: ROS2 (C++/Python) and robotics system integration. Navigation algorithms (A*, DWA, Pure Pursuit, MPC). RTK GPS integration and localization techniques. Vehicle control systems (CAN, drive-by-wire). Simulation integration (Isaac Sim / Gazebo).
 * Travel Requirements:
~20%-30% travel required to field test locations to support vehicle integration, autonomy tuning, performance validation, troubleshooting, and customer pilot deployments.

 * Valid driver's license required.

## Description

* Develop and maintain vehicle localization architecture utilizing GNSS/RTK, LiDAR, visual localization, inertial navigation, and sensor fusion techniques.
 * Develop behavior planning, motion planning, and vehicle control algorithms for autonomous navigation.
 * Optimize computational performance, latency, and resource utilization on embedded computer platforms.
 * Develop and maintain system requirements, interface specifications, and validation plans.
 * Integrate autonomous hardware and software with vehicle electrical, controls, and sensor systems.
 * Ensure the system performs reliably in real-world field conditions and support field testing and debugging.
 * Work with cross functional leads such as product strategy to help define features and product requirements.


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