Responsibilities
- Design, develop, and deploy AI algorithms for robotic perception, localization, mapping, planning, and control.
- Build and train machine learning models for robotic autonomy, including multimodal perception and decision-making.
- Develop scalable software systems for robotics using languages such as Python and C++.
- Integrate AI models with robotics hardware, sensors, and embedded systems.
- Improve robustness, reliability, and safety of robotic systems operating in real-world environments.
- Collaborate with robotics engineers, ML researchers, and systems engineers to deliver end-to-end autonomous solutions.
- Test and validate algorithms in simulation and real-world deployments.
- Analyze field data to improve model performance and system reliability.