The candidate is expected to work in the perception team, and will be responsible for researching, designing and developing deep learning models to solve scene understanding, object detection, tracking and prediction problems for autonomous trucks.Required: one of the following two areas:Strong expertise in modern deep learning / computer vision / robotics in at least one of the specific areas:2D/3D segmentation and object detectionVisual/LiDAR based tracking and multi-object tracking (MOT) with deep learningBehavior predictionRich knowledge in TensorRT and cuda programming for model inference optimizationA Ph.D degree or a Masters degree with solid research background is required.Preferred:Deep knowledge and experience of reinforcement learning (RL), inverse reinforcement learning (IRL), VAE Variational AutoEncoder) / CVAE (Conditional Variational AutoEncoder), and / or imitation learningExperience and knowledge in large language model and foundation model Proven track record of research publications in top conferences and/or journals as the first author is a bonusLevel: junior & senior level recblid ngz9st2op9qtn01r0wakk4lgm3b901