✨ About The Role
- The role involves integrating advanced machine learning models with prediction and planning systems to enhance autonomous robot behavior.
- You will be responsible for developing first-principles based safeguards to ensure trustworthy prediction and decision-making.
- The position requires designing interfaces between prediction and planning to facilitate modular integration of machine-learned components.
- You will work closely with cross-functional teams, including prediction data/modeling and planning/control teams, to implement architectural changes.
- The job emphasizes advancing the state of the art in prediction and decision-making within the autonomous mobility sector.
âš¡ Requirements
- A master's or PhD degree in computer science or a related field is essential for this role.
- Candidates should have over 5 years of relevant experience in software engineering, particularly in safety-critical production environments.
- Proficiency in modern C++ standards and strong knowledge of algorithmic design and optimization is required.
- Experience with machine learning, either in model architecture or production data pipelines, is highly valued.
- The ideal candidate will have demonstrated ability to communicate and collaborate effectively across different teams.