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SWE Intern Job/Internship Description About Us: Mide is a sensor and smart materials company located in Woburn, MA that focuses on engineering research (looking for new solutions to problems in commercial, automotive, and defense) and development (implementing new features or products for our enDAQ line of low powered sensors). Engineering has been deep in our culture since we were founded over 30 years ago, and people at all levels of the company have enthusiasm for the technical details of projects. In 2019, we were acquired by Hutchinson, which relies on us for research and problem solving in automotive, aerospace, and wind turbine projects, without interfering with our small company feel. Mide's sensor product line, enDAQ, has released and supports multiple open-source Python libraries including EBMLite, for managing EBML encoding schemas, and enDAQ, for interfacing with our sensor recordings and processing data to produce and plot characteristics such as pseudo-velocity shock response spectrums. Job Description:We are looking for a Software Engineering Intern/Co-op with experience in Python and an interest in sensor data analysis, signal processing, and engineering applications. The intern will work on developing software tools to test, process, analyze, and visualize sensor output, collaborating with a multidisciplinary electrical, software, and mechanical engineering team. The role offers hands-on experience working with real-world sensor data, applying machine learning and AI techniques to engineering problems, and developing software tools for data analysis and visualization. Responsibilities:
Work with acceleration time-series data from vibration sensors, including data visualization, preprocessing, statistical analysis, and feature extraction to identify patterns and derive engineering insights.
Perform frequency-domain and time-frequency analysis, including Fast Fourier Transform (FFT), Power Spectral Density (PSD), filtering, and frequency-based feature extraction.
Use AI tools to accelerate software development, automate workflows, and improve the efficiency of data processing, analysis, and engineering tasks.
Preferred experience includes:
Familiarity with signal processing and time-series analysis, including Fourier transforms, FFT, PSD, filtering, statistical analysis, and feature extraction.
Experience with data visualization and dashboard development, using tools such as Matplotlib, Plotly, Dash, or Streamlit.
Requirements
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