Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.
Job Description
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 cutting-edge 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
📌 Digital Signal Processing Expert (Coimbatore)
🏢 Bosch
📍 Coimbatore
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