What will your job look like: Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems. Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks. Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning. Combine learning-based methods with classical optimization and geometric algorithms. Own the entire lifecycle from prototyping to deployment. Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions. Drive innovative solutions for high-precision localization at production scale. All you need is: 2+ years of practical experience developing computer vision or machine learning solutions using Python and frameworks such as PyTorch or TensorFlow – must. B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance. Solid foundation in algorithms, data structures, and computer vision/deep learning fundamentals. Strong analytical skills, a sense of ownership, and the ability to work collaboratively.
