Associate Embedded SW Developer

Join the University of Dayton Research Institute (UDRI) where innovation meets impact in one of the nations top research universities. The Sensor and Software Division is seeking a motivated Embedded Software Engineer to design implement and test embedded applications and libraries for advanced sensing and control systems. This role is an excellent fit for a recent graduate or early-career professional with technician-level experience who is ready to transition into a full engineering position.

Responsibilities

- Develop and maintain embedded Linux applications and supporting libraries.
- Design and optimize software in C/C for performance and reliability.
- Convert and integrate Python prototypes into C/C for embedded deployment.
- Build tools and frameworks to test and validate applications before deployment.
- Collaborate with engineers and researchers to deliver robust field-deployable solutions.
- Contribute to long-term improvements in system reliability unattended operation and resilient sensing.

- Bachelors degree in Computer Engineering Electrical Engineering Computer Science or related field.
- Strong programming skills in C/C and familiarity with Python.
- Experience with Linux application development and embedded systems.
- Solid understanding of software design debugging and version control (Git).
- Ability to work independently while contributing to a collaborative team.
- Due to the requirements of our research contracts with the U.S. federal government candidates for this position must be a U.S. citizen.

While not everyone may possess all of the preferred qualifications the ideal candidate will bring many of the following:

- Experience with microcontrollers device drivers or low-level hardware/software integration.
- Familiarity with cross-compilation and build systems (e.g. CMake Make).
- Knowledge of real-time systems or distributed software architectures.
- Experience with Artificial Neural Networks or other Machine Learning experience.
- Interest in applying software engineering to sensing autonomy or machine learning applications.

To apply please submit a cover letter addressing each minimum qualification and any applicable preferred qualifications that you meet.

Informed by its Catholic and Marianist mission the University is committed to the dignity of every human being. Informed by this commitment we seek to increase diversity in all of its forms achieve fair outcomes and model inclusion across our campus community. The University is committed to policies of affirmative action designed to increase the employment opportunities of individuals with disabilities and protected veterans in compliance with the Rehabilitation Act of 1973 and Vietnam Era Veterans Readjustment Assistance Act of 1973.