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Computer Vision & Deep Learning Algorithms Developer
·Israel
Not specifiedFull-timeBackend DevelopmentArtificial IntelligenceAutomotive
Join a global leader in autonomous driving technologies to research, develop, and deploy state-of-the-art lidar perception and deep learning solutions. This role focuses on advancing computer vision algorithms for world-class autonomous driving features and ADAS.
Responsibilities
- 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 from 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.
Requirements
- 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.
Nice to have
- Experience with lidar, 3D perception, autonomous driving, or the automotive industry is a strong advantage.