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 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 based techniques to achieve world-class results, enabling the safe development of Autonomous Driving features and Advanced Driver Assistance Systems.What will your job look like:Research, design, develop, and implement lidar based algorithms in both Python and C++ for solving complex problemsEvaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracyExamine your algorithms on large-scale real-world data from our data collection vehicles across the globeCollaborate with cross-functional teams to understand requirements and develop solutionsOptimize existing algorithms to improve performance and scalabilityAll you need is:M.Sc./Ph.D. in Computer Science, Electrical Engineering or a related field, with research in deep neural networks3+ years of experience in developing Computer Vision algorithms employing deep neural network techniquesKnowledge of transformers and specifically Vision Transformers is an advantageStrong statistical analysis, mathematical, and problem-solving skillsAbility to learn new technologies and techniquesIndependence, creativity and a proactive approachExperience with the automotive industry is an advantageMobileye 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!