Apply now Job No: 503125

Work Type: Staff Full Time (1500 hours or greater)

Location: Dayton, OH

Category: Research Institute Staff

Department: Sensor Test & Evaluation - 250611

Pay Grade: R1 - Exempt

Advertised: October 07, 2025

Applications close: October 24, 2025

Position Summary

Join the University of Dayton Research Institute (UDRI), where innovation meets impact in one of the nation's 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.
  
  

Minimum Qualifications

• Bachelor’s 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.
  
  

Preferred Qualifications

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.
  
  

Special Instructions To Applicants

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

Closing Statement

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.

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