Research Engineer-ADAS

The company NHRSL is looking for skilled and motivated professionals to be part of the R&D team. As a member of the team, you will be involved in developing software and hardware solutions for current and future robotic platforms. This will include working on cutting-edge machine learning and computer vision algorithms to push boundaries in emerging fields. Your responsibilities will include researching, designing, and creating innovative deep learning architectures and algorithms. You will be expected to evaluate the latest advancements in deep learning frameworks and apply them to optimize technologies for computer vision applications such as object detection, video analysis, and scene classification. Additionally, you will design and enhance deep neural networks for incorporation into commercial robotic products. Your role will also involve promoting the use of machine learning and deep learning solutions in upcoming NHRSL products. Creating prototypes to showcase concepts and collaborating with different business units for product development will be part of your tasks. Writing clean, reusable, and efficient code in Python, C/C++, or other programming languages is essential. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science with a specialization in Artificial Intelligence/Machine Learning or an equivalent field. You must possess a solid understanding of computer vision, machine learning, and deep learning techniques such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), dropout, pooling, etc. Practical experience with deep learning libraries like TensorFlow, PyTorch, etc., is required. Proficiency in programming languages like C/C++, Python, or similar is a must. Knowledge of GPU programming, high-performance computing, or big-data platforms will be advantageous. Previous exposure to integrating machine learning/deep learning in real-time systems, mobile applications, or commercial products is preferred. Effective communication, teamwork, collaboration skills, and a proactive, self-driven attitude are essential for this role. You should also be comfortable working in a fast-paced, results-driven environment.,