Introduction • We focus on biosensor early assessment, feature development, function validation, and data collection and analysis. • We work with colleagues with different principles globally to make our product better. • We are interested in healthcare, sports, and medical applications. • We expect our members to be creative and innovative, and also encourage our members to realize new ideas. • We also keep track of product stability and keep monitoring and improving biosensor features. Overview • Develops moderately complex software, creates and executes designs for small sets of new functionalities. • Exploration of new Biosensor functions. • Integration of machine learning algorithms for data analysis and feature extraction. Essential Functions • Develops moderately complex software in C, C++, Python, or other selected languages for Garmin or OEM products and/or applications consistently following Garmin’s coding standards and in accordance with applicable software development methodology and release processes. • Utilizes software engineering tools such as configuration management systems, build processes, and debuggers in the software development process. • Creates and executes designs for small sets of new functionalities as part of a software project. • Collaborates and adds value through participation in peer code reviews, providing comments and suggestions. • Provides reliable solutions to a variety of problems using sound problem-solving techniques. • Contributes to technical research on new technologies. • Works collaboratively and professionally with other Garmin associates in cross-functional teams to achieve goals. • Develops and implements machine learning models to enhance biosensor data analysis and prediction capabilities. • TOEIC 700+ Basic Qualifications • Master of Science degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Math, Physics, or a technical field (such as CIS or IT) relevant to the essential functions of this job description. • Demonstrates proficient knowledge and utilization of engineering tools necessary for successful performance of the essential functions of this job description. • Experience in MCU firmware programming (C/C++), familiar with AFE is a plus. • C for embedded applications, C++, Python, Other. • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). • Knowledge of data preprocessing, feature engineering, and model evaluation techniques.