What will your job look like: Research, design, develop, and implement advanced lidar-based perception algorithms using state-of-the-art deep learning and computer vision techniques Develop, train, and optimize deep neural networks for challenging 3D perception tasks such as detection, classification, tracking, segmentation, and scene understanding Evaluate existing models and architectures, investigate emerging deep learning methodologies, and propose innovative solutions to improve accuracy, robustness, and computational efficiency Analyze and validate algorithms on large-scale real-world datasets collected by Mobileye vehicles worldwide Collaborate with cross-functional teams to define requirements, create data-driven solutions, and deploy production-ready models Optimize deep learning models and classical algorithms for scalability, runtime performance, and deployment on embedded automotive platforms Stay at the forefront of advances in deep learning, computer vision, and autonomous driving research, and drive their adoption into production systems All you need is: M.Sc. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a related field 3+ years of hands-on experience developing deep learning and computer vision algorithms Strong practical experience with deep learning frameworks such as PyTorch or TensorFlow Experience developing, training, evaluating, and optimizing neural networks for computer vision or 3D perception applications Strong understanding of machine learning, deep learning fundamentals, optimization, and statistical analysis Solid programming skills in Python; experience with C++ is an advantage Strong mathematical and problem-solving skills Ability to quickly learn new technologies and transform research ideas into production-quality solutions Independence, creativity, and a proactive approach Experience with lidar, 3D perception, autonomous driving, or the automotive industry is a strong advantage
