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

Own the intelligence of the autonomous system, ensuring that robust perception models enable reliable detection and understanding of the environment.
Develop automated data curation, labeling, and data quality workflows.
Evaluate and develop vision-language and foundation-model-based autonomy capabilities.
Develop model monitoring and drift detection approaches for deployed autonomy systems.
Evaluate AI model performance for robustness, explain ability, uncertainty estimation, and safety-critical deployment.
Maintain training pipelines effectively leveraging both synthetic and real-world data.
Establish a continuous improvement loop (data -> train -> deploy).
Implement imitation learning (baseline driving) and RL-based policy optimization.

Textron is committed to providing Equal Opportunity in Employment, to all applicants and employees regardless of race, color, religion, age, national origin, military status, veteran status, disability, sex (including pregnancy and sexual orientation), genetic information or any other characteristic protected by law.

Primary Location

US-Georgia-Augusta

Job Field

Engineering

Schedule

Full-time

Job Level

Individual Contributor

Shift

First Shift

Travel

Yes, 20 % of the Time

Job Posting

08/25/2026, 6:30:28 PM

Education: Bachelor’s degree in Software or Computer Engineer, Information Technology, or related field required.
Years of Experience: 2+ years of relevant experience required.
Software Knowledge: Python, PyTorch/TensorFlow, Linux development environments, version control systems (Git) required.

Additional Requirements

Required Skills: Strong experience in Python and ML frameworks (PyTorch / TensorFlow). Background in computer vision (object detection, segmentation). Experience working with real-world datasets and model training pipelines. Understanding of model evaluation metrics and performance analysis. Ability to iterate quickly on models using data-driven insights.
Preferred Skills: Reinforcement learning (PPO, DQN) and imitation learning. Synthetic data and simulation-based training. Sensor fusion (vision + LiDAR/radar). Deployment to edge platforms (TensorRT, NVIDIA stack). MLOps workflows and model lifecycle management.

Travel Requirements

10-20% travel required to collect field data, evaluate perception performance, support data capture campaigns, and validate model performance in operational environments.
Valid driver’s license required.

Will consider remote work for this opportunity. Employees who are working in remote roles will work primarily offsite (from home).

Autonomy AI/MI Engineer

Job description