(Senior) Software Engineer, Deep Learning

- Work with experts in the field of self-driving vehicles on software architecture and design, system and module design, evaluation metrics, specification and implementation of test and regression frameworks. - Design and develop large-scale foundation models trained on vast of real world data - Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems; scale them to data pipelines; and streamline them to run in real-time on the cars. - Develop and deploy deep learning models, including vision language models (VLMs) and Large Language Models (LLMs) - Optimize deep learning models to run robustly under tight run-time constraints.

- Master in Computer Science, or at least 2 years of equivalent industry experience in similar technical fields. - Solid understanding of data structures, algorithms, parallel computing, code optimization and large scale data processing. - Experience in applied machine learning including data collection and analysis, evaluation and feature engineering. - Expertise in C++/Python. - Strong communication skills and team spirit.

- PhD in Deep Learning, Machine Learning, Robotics, Natural Language Processing, or similar technical field of study. - Publications on top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/ICLR/AAAI/IJCV/PAMI - Experience in applying ML/DL for behavior prediction, imitation learning, motion planning. - Experience in deploying deep learning algorithms for real time applications, with limited computing resources. - Experience in convex optimization, computational geometry or linear algebra. - Experience in GPU/CUDA/TensorRT