面議(經常性薪資達4萬元或以上)												新北市汐止區										工作經歷不拘			1天前		
		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.
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