A complete application in a minute — tailored resume and cover letter, ready to send.
The Reserves Network is seeking an Embedded Software Engineer in Shelton, CT. You will build software that interfaces with electrical systems and sensors, acquiring and processing data for visualization and analysis.
Responsibilities include developing data-visualization tools, integrating DAQ hardware, and debugging across hardware/software boundaries. A bachelor’s in a related field and 6–15 years’ experience are preferred, with proficiency in Python or C-family languages.
We are seeking a Embedded Software Engineer with hands-on experience interfacing with electrical and sensor systems, interpreting measurement and signal data, and developing software applications for data visualization and analysis. This role bridges the gap between hardware and software, requiring the ability to understand how electrical systems generate sensor data and translate that data into reliable, useful software outputs.
The ideal candidate will be comfortable working with electrical schematics, sensors, instrumentation, data acquisition systems, and communication interfaces, while also possessing strong software development skills. They will be responsible for integrating hardware and software systems, acquiring and processing sensor data, troubleshooting signal-related issues, and developing applications that allow engineers and technicians to visualize, evaluate, and analyze test results.
The ideal candidate is a Embedded or Systems-oriented engineer who can move comfortably between the electrical bench and the software development environment. We would place Software Proficiency over Hardware Proficiency. Candidate must understand what is happening at the sensor and signal level, can determine whether collected data is valid and meaningful, and can build software tools that turn raw measurements into information engineers can use to make decisions.
Experience with test and measurement equipment, automated test systems, DAQ platforms, signal processing, instrumentation, or engineering data visualization is a notable plus.