- 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, Energetic 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
Technical Skills
- 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
- TensorFlow
- PyTorch
- Common Data science tool kits
- Embedded OS, Linux, OpenGL, OpenCL
- 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
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Analyst Programmer (India)
🏢 SRM Technologies
📍 India
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.