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About the role
As a Computer Vision engineer at our company, you will be responsible for building algorithms based on our existing product portfolio and developing cutting-edge solutions for the emerging requirements of our key markets. You will have the opportunity to interact and collaborate with our team of global Computer Vision experts to meet the dynamic nature of requirements for our customers. Key Responsibilities: - Designing and implementing efficient computer vision algorithms for recognizing and tracking Human subjects within a controlled environment. - Architecting algorithms to work onboard our hardware systems as well as in the cloud where appropriate. - Collaborating with our software development team to develop a scalable software solution. Qualifications Required: - Minimum of 2-4 years of relevant experience. - MS or PhD in Computer Science, Applied Mathematics, or a related field. - Strong knowledge of the state-of-the-art in computer vision and machine learning algorithms with a solid understanding of OpenCV. - Experience working with point cloud processing and Point Cloud Library (PCL). - Experience in optimization for computer vision (e.g., Semantic segmentation, depth reconstruction, scene flow). - Ability to write efficient and maintainable code. - Solid understanding of C++ and/or Python, preferably in a Linux environment. - Practical experience in TensorFlow, Caffe. Desired Experience: - Prior experience in working with depth sensors and 3D Reconstruction using computer vision, image processing techniques. - Familiarity with the state-of-the-art in Computer vision and Deep Learning techniques. As a Computer Vision engineer at our company, you will be responsible for building algorithms based on our existing product portfolio and developing cutting-edge solutions for the emerging requirements of our key markets. You will have the opportunity to interact and collaborate with our team of global Computer Vision experts to meet the dynamic nature of requirements for our customers. Key Responsibilities: - Designing and implementing efficient computer vision algorithms for recognizing and tracking Human subjects within a controlled environment. - Architecting algorithms to work onboard our hardware systems as well as in the cloud where appropriate. - Collaborating with our software development team to develop a scalable software solution. Qualifications Required: - Minimum of 2-4 years of relevant experience. - MS or PhD in Computer Science, Applied Mathematics, or a related field. - Strong knowledge of the state-of-the-art in computer vision and machine learning algorithms with a solid understanding of OpenCV. - Experience working with point cloud processing and Point Cloud Library (PCL). - Experience in optimization for computer vision (e.g., Semantic segmentation, depth reconstruction, scene flow). - Ability to write efficient and maintainable code. - Solid understanding of C++ and/or Python, preferably in a Linux environment. - Practical experience in TensorFlow, Caffe. Desired Experience: - Prior experience in working with depth sensors and 3D Reconstruction using computer vision, image processing techniques. - Familiarity with the state-of-the-art in Computer vision and Deep Learning techniques.