✨ About The Role
- This role involves designing software architectures that integrate both learned and classical methods for motion planning.
- The successful candidate will create algorithmic improvements and machine learning models to enhance vehicle performance.
- Collaboration with cross-functional teams, including mapping, perception, and safety, is a key aspect of the job.
- The position requires planning and leading large initiatives that impact the overall functionality of Zoox vehicles.
- Presenting work proposals and providing technical mentoring to team members will be part of the responsibilities.
âš¡ Requirements
- The ideal candidate will have a strong background in computer science or a related field, with a focus on robotics.
- A minimum of 3 years of experience in training and deploying machine learning models is essential for success in this role.
- Candidates should possess a deep understanding of real-time motion planning algorithms and configuration spaces.
- Proficiency in programming languages such as C++ and Python is required, along with experience in machine learning frameworks like PyTorch and TensorFlow.
- A passion for working with autonomous robots and improving their driving behaviors in complex urban environments is crucial.