Apply now Job No: 502179
Work Type: Staff Full Time (1500 hours or greater)
Location: Dayton, OH
Category: Research Staff
Department: Autonomy Systems - 250367
Pay Grade: R2 - Exempt
Advertised: September 05, 2024
Applications close: Open until filled
Position Summary:
The University of Dayton Research Institute (UDRI) is in search of motivated, innovative team members to further ongoing government artificial intelligence research while working on a hybrid schedule. Our autonomy services support multiple echelons of dynamic mission planning and execution from strategic operations down to vehicle autonomy. We blend the use of common programming languages like Java and Python with lesser-known logic programming solvers and our own complex event processing domain-specific language then wrap it into a DevOps framework that deploys through containers.
Responsibilities:
- Technical leadership of the group’s existing DevOps infrastructure, including:
* Infrastructure-as-code approach to hardware and software deployment
* Managing DevOps support services across a Kubernetes implementation
* Version control and continuous integration through GitLab
* Troubleshooting networking issues on a Linux-based network - Development and integration of autonomy services that implement course of action selection and execution across simulated scenarios and flight tests, including:
* Development of autonomous agents and autonomy services for decision selection and execution
* Integration and testing of agents and services through simulation in preparation for flight testing
Minimum Qualifications:
BS in Computer Science, Engineering, Operations Research, Mathematics or similar discipline (or equivalent professional experience)
3+ years demonstrable experience with ONE OR MORE of the following:
* Software development in object-oriented language (e.g. Java, Python, C#, Rust)
* DevOps administration and process improvement
* Logic or constraint programming (e.g. clingo, prolog, Z3, SAT solvers)
* Operations research optimization with multi-criterion decision analysis (MCDA)
Due to requirements of our research contracts with the U.S. federal government, candidates for this position must be a U.S. Citizen and willing and able to obtain a DoD Secret security clearance.
3 or more years of applied experience plus a B.S. in Computer Science, Engineering, Operations Research, Mathematics or similar discipline OR 4.5 or more years of applied experience plus an A.S. in Computer Science, Engineering, Operations Research, Mathematics or similar discipline OR 6 or more years of applied experience.
-Years applied experience are measured as cumulative years in ONE OR MORE of the following:
* Software development in object-oriented language (e.g. Java, Python, C#, Rust)
* DevOps administration and process improvement
* Logic or constraint programming (e.g. clingo, prolog, Z3, SAT solvers)
* Operations research optimization with multi-criterion decision analysis (MCDA)
Preferred Qualifications:
While not everyone may possess all of the preferred qualifications, the ideal candidate will bring many of the following:
Advanced degree in Computer Science, Engineering, Operations Research, Mathematics, or similar discipline
Practical experience with infrastructure-as-code tooling and implementation (e.g. Ansible)
Practical experience with container virtualization and management technologies (e.g. Docker, K8s)
Applied artificial intelligence and autonomy technologies experience
Software development processes including source control, issue tracking, continuous integration, and requirement flow experience
Software test process management experience.
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 principles of diversity, equity, and inclusion. Informed by this commitment, we seek to increase diversity, achieve equitable outcomes, and model inclusion across our campus community. As an Affirmative Action and Equal Opportunity Employer, we will not discriminate against minorities, women, protected veterans, individuals with disabilities, or on the basis of age, race, color, national origin, religion, sex, sexual orientation or gender identity.
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