Learning-based Planning and Prediction Research Scientist for Autonomous Driving_CR

We are seeking a Perception Research Scientist to join our cutting-edge team in autonomous driving / industry 4.0 technology. In this role, you will conduct advanced research and development to design, implement, and improve perception algorithms and models for real-world autonomous systems and industry solutions. You will focus on delivering high-performance solutions to achieve safe, robust, and efficient perception capabilities for vehicles/robots. Experience in deploying perception solutions in real products is a plus, such as sensor fusion, object detection, segmentation, localization, and tracking etc. This position offers a unique opportunity to advance state-of-the-art autonomous driving technology and work with leading researchers and engineers in the field.

Key Responsibilities

• Research and develop scalable planning and prediction systems based on machine learning to generate safe and feasible trajectories for autonomous driving, covering aspects such as code implementation, model training, parameter tuning, and iterative optimization.
• Collaborate closely with the perception R&D team to ensure that the developed algorithms efficiently and safely support advanced intelligent driving functions.
• Stay up-to-date with cutting-edge machine learning technologies, explore their feasibility in autonomous driving prediction and planning, propose and implement practical solutions, and deploy them in real-world vehicles.
• Have a comprehensive understanding of machine learning algorithms, with the ability to quickly adapt to and drive the development of new technologies.