Software Engineer ll

Hutchinson•Woburn, MA

6h•Onsite

About The Position

Midé Technology Corporation, a Hutchinson company, located in Woburn, Massachusetts, is an engineering research and development company specializing in sensors and smart materials. They produce the enDAQ sensor line for high-quality battery-powered data loggers and the Hutchinson Data Services line for monitoring large-scale systems. Engineering is deeply embedded in their culture, with enthusiasm for technical details at all levels. Midé has also released several open-source Python libraries (ebmlite, idelib, endaq, endaq-device) for use with their enDAQ data recorders and plans further open-source contributions. The ideal candidate should be comfortable working in a small, diverse team and capable of translating user requests into software requirements. Applicants may need to submit a code sample or complete a brief coding exercise. This is an on-site, full-time position, though Midé offers part-time remote work generally, this specific role is primarily on-site in their spacious office with mechanical and electronics labs. Local applicants are preferred.

Requirements

Have a Bachelor’s degree or equivalent experience
Have 2-6 years practical experience, with a solid understanding of the Amazon Web Services platform and some Python experience
Be a US person (citizen, green card holder, or permanent resident) or obtain an Export Authorization from the appropriate government agency.
Be able to demonstrate an understanding of object-oriented programming concepts and their application
Have fluency in at least one object-oriented programming language: Python (preferred), Java, C++, C#, Swift, etc.
Have experience writing large, reusable programs in Python

Nice To Haves

Experience working with Azure, particularly IoT Edge, Event Hub, Functions, and databases
Networking and small-scale server design experience, particularly using MQTT
Object-oriented techniques to handle the management of many different configurations of sensors
Experience using Python to efficiently handle large data sets and real time processing, particularly using NumPy
Test techniques to manage integration into a growing code base, particularly using PyTest
Signal processing, such as Fourier Transforms, PSD, filters, and resampling
Experience with user interface design and the graphing and display of data
Python debug experience using an IDE
Knowledge or experience with some of the following Python packages: Numpy, SciPy, Plotly, Pandas, wxPython
Knowledge of statistical analysis techniques such as multi-discriminant analysis
Experience with AI techniques in data processing