This role involves developing cutting-edge signal processing algorithms for Bosch Interior Sensing Solutions – Driver Monitoring System (DMS), and more. You'll be responsible for creating innovative systems that warns driver when they are distracted or impaired due to drowsiness and intoxication, You will work on taking the topic from concept to mass production, and inspiring a team of passionate technologists. The work will involve mix of signal processing and AI/ML model development for edge use-cases. Key Responsibilities: System Design and Development: Develop signal processing-AI/ML algorithms for interior sensing applications. Focus on signal processing, machine learning, algorithm design, and statistical methods to solve complex engineering challenges. Develop algorithms for edge application using knowledge of signal processing and machine learning/deep learning models Coding, Documentation, Unit Testing Systematic technical decision-making Work across multidisciplinary teams to deliver seamless and effective solutions. Technical Expertise: Strong in signal processing and algorithm development – FFTs, filter design, wavelets, etc. Strong theoretical understanding in linear algebra concepts such as vector space and sub-spaces Proficient in statistical signal processing concepts, including estimators, and statistical models Knowledge of machine learning and deep learning models for time-series data Extensive experience in optimizing and implementing algorithms for real-time processing on resource-constrained edge devices Advanced mathematical, analytical, and problem-solving Experience in data analysis and data visualization, creating insights from large and complex sensor datasets. Solid programming expertise in Python, Tensorflow/PyTorch, C++ Preferred Experience: Expertise in any of the following domain: Biomedical signal processing, Speech Signal processing, Wireless signal processing, Sensor signal processing, Computer Vision Machine Learning: Hands-on experience and intermediate to expert-level proficiency in ML, deep learning algorithms, and signal processing. Proficient in implementing signal processing algorithms in C/C++Education: Bachelor’s or Master’s degree in relevant fields such as Electronics, Instrumentation, or Telecommunication. Experience:4+ years of industry experience in related fields.