Computer Vision & Deep Learning Algorithms Developer

In our group, we research, develop, and deploy state-of-the-art lidar perception and deep learning technologies to achieve world-class performance, enabling the safe development of Autonomous Driving features and Advanced Driver Assistance Systems. We are looking for a passionate engineer with strong expertise in deep learning, computer vision, and large-scale data-driven algorithm development.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 techniquesDevelop, train, and optimize deep neural networks for challenging 3D perception tasks such as detection, classification, tracking, segmentation, and scene understandingEvaluate existing models and architectures, investigate emerging deep learning methodologies, and propose innovative solutions to improve accuracy, robustness, and computational efficiencyAnalyze and validate algorithms on large-scale real-world datasets collected by our vehicles worldwideCollaborate with cross-functional teams to define requirements, create data-driven solutions, and deploy production-ready modelsOptimize deep learning models and classical algorithms for scalability, runtime performance, and deployment on embedded automotive platformsStay at the forefront of advances in deep learning, computer vision, and autonomous driving research, and drive their adoption into production systems.Requirements: M.Sc. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a related field3+ years of hands-on experience developing deep learning and computer vision algorithmsStrong practical experience with deep learning frameworks such as PyTorch or TensorFlowExperience developing, training, evaluating, and optimizing neural networks for computer vision or 3D perception applicationsStrong understanding of machine learning, deep learning fundamentals, optimization, and statistical analysisSolid programming skills in Python;

experience with C++ is an advantageStrong mathematical and problem-solving skillsAbility to quickly learn new technologies and transform research ideas into production-quality solutionsIndependence, creativity, and a proactive approachExperience with lidar, 3D perception, autonomous driving, or the automotive industry is a strong advantage.This position is open to all candidates.