Description
The role supports end-to-end research and development of prediction-decision-planning large models, including model preprocessing and postprocessing, deployment and optimization on automotive embedded platforms, and research into frontier AI technologies such as large models and generative AI. Candidates should be pursuing a master's or doctoral degree in computer science, artificial intelligence, software engineering, or a related engineering field, have strong programming and Python/PyTorch skills, and possess research experience in deep learning or reinforcement learning; autonomous-driving prediction or planning experience and publications in top AI venues are preferred.
