Biosensor生醫感測工程師_汐止U-Town
面議（經常性薪資達4萬元或以上） 40000元
新北市汐止區
工作經歷不拘
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.
展開
