Computer Vision & Deep Learning Algorithms Developer
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Computer Vision & Deep Learning Algorithms Developer
Location
Haifa, Israel
Experience
Mid
Posted
Jul 18, 2026
Apply by
August 17, 2026
Applicants
0
Early applicantEasy applyFull-timeHybrid
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.
### 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 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
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!
Key Responsibilities
- Research, design, develop, and implement advanced lidar-based perception algorithms using deep learning and computer vision techniques.
- Develop, train, and optimize deep neural networks for 3D perception tasks such as detection, classification, tracking, segmentation, and scene understanding.
- Evaluate existing models and investigate emerging deep learning methodologies to improve accuracy, robustness, and computational efficiency.
- Analyze and validate algorithms on large-scale real-world datasets collected by Mobileye vehicles.
- Collaborate with cross-functional teams to define requirements and deploy production-ready models.
- Optimize deep learning models and classical algorithms for scalability and deployment on embedded automotive platforms.
Requirements
- M.Sc. or Ph.D. in Computer Science
- Electrical Engineering
- Applied Mathematics
- Physics
- or a related field
Skills Required
Deep LearningComputer VisionPyTorchTensorFlowPythonMachine LearningNeural Network OptimizationStatistical AnalysisProblem solvingIndependenceCreativityProactive approachAbility to learn new technologiesC++Lidar3D PerceptionAutonomous DrivingAutomotive Industry Knowledge
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