AI ML ADAS- Senior

Job Description About SRM Tech: SRM Tech is a global IT services company specializing in automotive technologies, digital transformation, product engineering, and supply chain optimization. They empower businesses across North America, Japan, Europe, and India with cutting-edge solutions in technology consulting, platform development, data analytics, AI/ML, cloud and infrastructure, embedded software, and end-to-end product design to manufacturing. As a Great Place to Work-certified company, SRM Tech is committed to fostering an environment where employees can learn, grow, and thrive. The belief at SRM Tech is that when their people are empowered and valued, they drive innovation, take care of customers, and contribute to shared success. Key Responsibilities: - ADAS AIML, Computer vision development, and Radar Algo development. - Experience in the areas of Computer Vision & Machine Learning. - Deep knowledge & experience of: - Image processing, Computer Vision, Machine / Deep Learning-Cameras-Mono camera, stereo camera OR LIDAR. - Stereo Camera & Lidar 3D point cloud processing, 2D and 3D coordinate rotation and translation. - Mono & Stereo Camera Calibration & Imaging, Static, Online, Dynamic Camera calibrations. - 3D reconstruction & depth imaging. - Simultaneous Localization & Mapping SLAM-opt. - Machine learning techniques and algorithms. - Building production-grade Deep learning and Neural Network models using Computer vision techniques. - Experience with imaging or optics systems. - RADAR: Strong understanding of concepts and background in development of topics like Kalman or extended Kalman filters, particle filter, clustering techniques etc. Performance measurement for algorithms like sensor fusion, object tracking etc. Expertise in Radar and deep learning or machine learning techniques on embedded platform. Qualifications Required: - Proficiency in: - Embedded C, C++- / Python/ Matlab. - Image Processing and computer vision libraries like OpenCV and MATLAB image processing and computer vision toolbox. - Programming with strong experience in Data structures, algorithms, and software development. - Either of the Deep Learning frameworks, such as TensorFlow, PyTorch, Caffe MxNet- Any 1. - Common Data science tool kits. - Embedded OS, Linux, Open GL, Open CL. - Deploying Computer vision and machine learning algorithms on edge computing hardware. - Sensor fusion of Camera, LIDAR, RADAR, GNSS etc and perception system. - Strong mathematical background. - Ability to perform complex engineering work with minimal guidance. Job Description About SRM Tech: SRM Tech is a global IT services company specializing in automotive technologies, digital transformation, product engineering, and supply chain optimization. They empower businesses across North America, Japan, Europe, and India with cutting-edge solutions in technology consulting, platform development, data analytics, AI/ML, cloud and infrastructure, embedded software, and end-to-end product design to manufacturing. As a Great Place to Work-certified company, SRM Tech is committed to fostering an environment where employees can learn, grow, and thrive. The belief at SRM Tech is that when their people are empowered and valued, they drive innovation, take care of customers, and contribute to shared success. Key Responsibilities: - ADAS AIML, Computer vision development, and Radar Algo development. - Experience in the areas of Computer Vision & Machine Learning. - Deep knowledge & experience of: - Image processing, Computer Vision, Machine / Deep Learning-Cameras-Mono camera, stereo camera OR LIDAR. - Stereo Camera & Lidar 3D point cloud processing, 2D and 3D coordinate rotation and translation. - Mono & Stereo Camera Calibration & Imaging, Static, Online, Dynamic Camera calibrations. - 3D reconstruction & depth imaging. - Simultaneous Localization & Mapping SLAM-opt. - Machine learning techniques and algorithms. - Building production-grade Deep learning and Neural Network models using Computer vision techniques. - Experience with imaging or optics systems. - RADAR: Strong understanding of concepts and background in development of topics like Kalman or extended Kalman filters, particle filter, clustering techniques etc. Performance measurement for algorithms like sensor fusion, object tracking etc. Expertise in Radar and deep learning or machine learning techniques on embedded platform. Qualifications Required: - Proficiency in: - Embedded C, C++- / Python/ Matlab. - Image Processing and computer vision libraries like OpenCV and MATLAB image processing and computer vision toolbox. - Programming with strong experience in Data structures, algorithms, and software development. - Either of the Deep Learning frameworks, such as TensorFlow, PyTorch, Caffe MxNet- Any 1. - Common Data science tool kits. - Embedded OS, Linux, Open GL, Open CL. - Deploying Computer vision and machine learning algorithms on edge computing hardware. -