Computer Vision & Deep Learning Algorithms Developer (Lidar)

Location: Haifa, Israel; hybrid workplace

Company

hirify.global develops autonomous driving and advanced driver-assistance technologies using computer vision, deep learning, machine learning, and automotive hardware.

What you will do

• Research, design, develop, and implement lidar-based perception algorithms.
• Develop, train, evaluate, and optimize neural networks for 3D detection, classification, tracking, segmentation, and scene understanding.
• Investigate deep learning architectures and methodologies to improve accuracy, robustness, and computational efficiency.
• Validate algorithms on large-scale real-world datasets collected by vehicles worldwide.
• Collaborate with cross-functional teams to define requirements and deploy production-ready models.
• Optimize deep learning models and classical algorithms for embedded automotive platforms.

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.
• Practical experience with PyTorch or TensorFlow and with training, evaluating, and optimizing neural networks.
• Strong understanding of machine learning, deep learning fundamentals, optimization, statistical analysis, mathematics, and problem-solving.
• Solid Python programming skills; C++ experience is advantageous.
• Ability to learn new technologies quickly and turn research ideas into production-quality solutions, with an independent and proactive approach.

Nice to have

• Experience with lidar, 3D perception, autonomous driving, or the automotive industry.
• Experience with C++.

Culture & Benefits

• Work in a hybrid format within the R&D Algorithms department.
• Collaborate with cross-functional teams on autonomous driving and ADAS technologies.
• Apply research advances in deep learning and computer vision to production systems.