we are a multidisciplinary startup headquartered in Ra'anana. We utilize the latest Artificial Intelligence and Electro Optics technologies and develop lifesaving, vision systems for the global railway market. As a Computer Vision Algorithm engineer in Rail Vision you will:
* Solve challenging CV problems
* Fuse data from various sensors to one holistic model of the real 3D world
* Be responsible for the products decision-making process
* R&D of optimization and classification algorithms
* Work with our Real-Time life-saving systems
* Solve challenging CV problems
* Fuse data from various sensors to one holistic model of the real 3D world
* Be responsible for the products decision-making process
* R&D of optimization and classification algorithms
* Work with our Real-Time life-saving systems
Requirements:
* B.Sc. in Physics / Mathematics / Electrical Engineering
* At least 3 years of proven experience in Classical Computer Vision
* At least 3 years of experience in at least 3 of the following:
* Optimization methods
* Classification methods
* Geo-mapping
* Computational Geometry / SLAM algorithms
* DSP algorithms
* Good physics / mathematics skills
* Good Python coding skills
Advantages:
* M.Sc. in Physics / Mathematics / Electrical Engineering
* Familiar with Deep Neural Networks Familiar with Matlab
* Relevant experience from the automotive industry
* Writing codes for Real-Time systems
* Understanding of sensors and sensing principles
* B.Sc. in Physics / Mathematics / Electrical Engineering
* At least 3 years of proven experience in Classical Computer Vision
* At least 3 years of experience in at least 3 of the following:
* Optimization methods
* Classification methods
* Geo-mapping
* Computational Geometry / SLAM algorithms
* DSP algorithms
* Good physics / mathematics skills
* Good Python coding skills
Advantages:
* M.Sc. in Physics / Mathematics / Electrical Engineering
* Familiar with Deep Neural Networks Familiar with Matlab
* Relevant experience from the automotive industry
* Writing codes for Real-Time systems
* Understanding of sensors and sensing principles
This position is open to all candidates.
