What are the responsibilities and job description for the Autonomy Software Engineer position at University of Dayton?
Autonomy Software Engineer
Job No: 503429
Work Type: Staff Full Time (1500 hours or greater)
Location: Dayton, OH
Category: Research Institute Staff
Department: SPIRE - 250641
Pay Grade: R2/R3 - Exempt
Advertised: March 30, 2026
Applications close:
Position Summary:UDRI is looking for an experienced Software Engineer to join the SPIRE group. You will work in a collaborative team environment with a focus on software development leveraging state of the art AI and analytic tools (e.g., Go, Python, Rust, Spark, PyTorch, TensorFlow) to create consistent and reliable software. You will utilize tools and methods such as continuous integration (CI), containerization, Kubernetes, and continuous deployment (CD), and containerization. We are looking for you to be adept at demonstrating such technologies for solving problems while guiding the process to turn research innovations into robust, scaled solutions. Team members will have the flexibility to explore, learn and utilize new technologies for the betterment of the AI/ML community. Our projects feature a unique direct connection with our customers and end users. Qualified candidates with 3 or more years of experience are encouraged to apply.
Minimum Qualifications:
1) Bachelor's degree
2) 3 years of experience in Software Development (R2), 8 years of experience in Software Development (R3)
3) Highly self-motivated
4) Experience in the following:
-- 4.1) Design, coding, testing, deployment, and support, in a team environment
-- 4.2) Linux operating system
-- 4.3) Python programming language
-- 4.4) Source code version control systems, such as Git or similar, in a team environment
-- 4.5) Statically typed programming language experience (e.g., C/C , GO, Rust, Java, C#)
Preferred Qualifications:
While not everyone may possess all of the preferred qualifications, the ideal candidate will bring many of the following:
1) Master's degree (or higher) in Computer Science, Computer/Electrical Engineering, or a related field
2) Rigorous software development skills
3) Professional experience with:
-- 3.1) machine learning operations (ML Ops), distributed systems and tools such as Kubernetes, continuous integration/continuous deployment (CI/CD), containerization (Docker or similar)
-- 3.2) Writing network services
-- 3.3) Solid experience in GO programming language
-- 3.4) Interest in or working knowledge of machine/deep learning, artificial intelligence, and/or autonomous systems
4) Strong written and verbal communication skills
5) Demonstrated, effective interpersonal skills
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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Job No: 503429
Work Type: Staff Full Time (1500 hours or greater)
Location: Dayton, OH
Category: Research Institute Staff
Department: SPIRE - 250641
Pay Grade: R2/R3 - Exempt
Advertised: March 30, 2026
Applications close:
Position Summary:UDRI is looking for an experienced Software Engineer to join the SPIRE group. You will work in a collaborative team environment with a focus on software development leveraging state of the art AI and analytic tools (e.g., Go, Python, Rust, Spark, PyTorch, TensorFlow) to create consistent and reliable software. You will utilize tools and methods such as continuous integration (CI), containerization, Kubernetes, and continuous deployment (CD), and containerization. We are looking for you to be adept at demonstrating such technologies for solving problems while guiding the process to turn research innovations into robust, scaled solutions. Team members will have the flexibility to explore, learn and utilize new technologies for the betterment of the AI/ML community. Our projects feature a unique direct connection with our customers and end users. Qualified candidates with 3 or more years of experience are encouraged to apply.
Minimum Qualifications:
1) Bachelor's degree
2) 3 years of experience in Software Development (R2), 8 years of experience in Software Development (R3)
3) Highly self-motivated
4) Experience in the following:
-- 4.1) Design, coding, testing, deployment, and support, in a team environment
-- 4.2) Linux operating system
-- 4.3) Python programming language
-- 4.4) Source code version control systems, such as Git or similar, in a team environment
-- 4.5) Statically typed programming language experience (e.g., C/C , GO, Rust, Java, C#)
Preferred Qualifications:
While not everyone may possess all of the preferred qualifications, the ideal candidate will bring many of the following:
1) Master's degree (or higher) in Computer Science, Computer/Electrical Engineering, or a related field
2) Rigorous software development skills
3) Professional experience with:
-- 3.1) machine learning operations (ML Ops), distributed systems and tools such as Kubernetes, continuous integration/continuous deployment (CI/CD), containerization (Docker or similar)
-- 3.2) Writing network services
-- 3.3) Solid experience in GO programming language
-- 3.4) Interest in or working knowledge of machine/deep learning, artificial intelligence, and/or autonomous systems
4) Strong written and verbal communication skills
5) Demonstrated, effective interpersonal skills
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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