Software Engineer, Sensors, Platforms and Devices

Job description

Develop signal processing algorithms or firmware for health sensors. Enhance signal processing and ML algorithms in order to filter noise and ensure accurate, efficient processing of data. Collaborate with hardware engineering to ensure that firmware and algorithms are seamlessly integrated with the hardware architecture. Design, develop, implement, and test software components that allow real-time signal processing and filtering, noise reduction, as well as data processing. Minimum Qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in Python. 2 years of experience working with embedded operating systems. Experience in digital signal processing (DSP) algorithm development, implementation, and optimization. Experience in analyzing large-scale datasets using database queries and scripting languages (e.g., SQL, Python, or R). Preferred Qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering, or a related field. Experience in distributed Machine Learning and Machine Learning infrastructure, distributed systems and with Machine Learning algorithms at scale. Proficient in C/C++ with experience in developing and implementing firmware and DSP algorithms on SOCs.