The Autonomy/ AI ML Software Engineer is responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for the motion planning and control of autonomous vehicles. Translates requirements and develops code, determining appropriate software methods to perform specific functions. Supports the technology development life cycle from requirements generation through development, integration, scenario development and modeling, testing, and debugging. Key Responsibilities - Develops, integrates, and implements algorithms to enable mission planning and motion control of autonomous vehicle - Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting, and debugging, and implementation - Translates requirements and applies requirements to development code - Review test outcomes, conducts troubleshooting, and works to debug issues - Implement interfaces for integration with other components of the autonomy stack - ROS 2 experience - Understanding of global planners such as Hybrid A - - Understanding of local planners/controllers such as Model Predictive Control/reactive planners or control systems in general - Experience developing software tools - Bachelor of Science in the following: Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or related field - Must have some experience in both C and Python - Path Planning experience