Research Scientist (End-to-End & Multimodal Models)

Purpose:

In this role, you will be responsible for the end-to-end design and development of autonomous driving frameworks. You will integrate mainstream perception, prediction, and planning technologies into a unified modeling system, leveraging both vision-only and vision-language modeling paradigms, to support autonomous driving tasks across urban and highway scenarios.

You will play a key role in advancing end-to-end and hybrid architectures, including the exploration of Vision-Language Models (VLMs) to enhance scene understanding, reasoning, and decision-making robustness in complex driving environments.

Responsibilities:

• Lead the design and implementation of end-to-end autonomous driving models, including one-stage (sensor-to-control) and two-stage (e.g., perception–planning decoupled) architectures. Define model structures, training pipelines, and op...