Computer Vision & Deep Learning Algorithms Developer
Haifa, Haifa District, Israel · Hybrid
Mid level$3.0B raised
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Skills: Deep Learning, Computer Vision, Lidar Perception, PyTorch, TensorFlow
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Computer Vision & Deep Learning Algorithms Developer
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Full-time
postgraduate degree
Posted 27d ago
~40 hrs/week
Responsibilities
Research and develop advanced lidar-based perception algorithms using deep learning and computer vision for autonomous driving. This includes training neural networks for 3D tasks and optimizing models for deployment on embedded automotive platforms.
Requirements
Requires an M.Sc. or Ph.D. in a technical field and 3+ years of experience in deep learning and computer vision. Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow is essential.
Full job description
Mobileye is a global leader in autonomous driving technologies and advanced driver-assistance systems (ADAS). Our cutting-edge solutions, including the EyeQ® chip, Mobileye SuperVision™, Mobileye Drive™, and Mobileye Chauffeur™, leverage computer vision, deep learning, and machine learning to enhance vehicle safety and enable self-driving capabilities. Integrated into millions of vehicles worldwide, our technology is redefining the automotive industry and driving the evolution towards smarter, safer, and more autonomous mobility.
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.
\nWhat 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
\n
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
Mobileye pioneers physical AI for intelligent systems including advanced ADAS, autonomous driving solutions, and humanoid robotics.
Mobileye’s physical AI foundation reflects decades of experience in real-world driving intelligence, applying the same engineering principles that shaped its automotive AI leadership to AI for humanoid robotics in complex physical environments.
Offices: 1 Shlomo HaLevi, West Jerusalem, Jerusalem District, IL · 25301 Dequindre Rd, Madison Heights, Michigan 48071, US · La Piazzola 6F, 2-9-3 Higashi-Shinbashi, Minato-ku, Tokyo, 105-0021, JP · Lütticher Straße, 132, Düsseldorf, North Rhine-Westphalia 40547, DE