Autonomous Systems Engineer

Textron Specialized Vehicles Inc. is a leading global manufacturer of golf cars, utility and personal transportation vehicles, professional turf-care equipment, and ground support equipment. Textron Specialized Vehicles markets products under several different brands. Its vehicles are found in environments ranging from golf courses to factories, airports to planned communities, and theme parks to hunting preserves.
Responsibilities:

• 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.

• 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.

Additional Requirements:

• 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.