Autonomy Software Engineer

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Summary

Location

Dayton, United States

Work

Full-time

Experience

3-8 years

About this Job

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#)
  5. 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:

  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.

About the Company

University of Dayton logo

University of Dayton

Educational Institution
Robotics Software & AIAerospace & DefenseResearch & Academia

The University of Dayton is a national, top-ten Catholic research university. The School of Engineering offers five Ph.D. programs in aerospace, electrical, electro-optics, materials and mechanical engineering; 14 master's level programs; five bachelor’s plus master's programs and nine undergraduate majors in engineering and engineering technology. We offer a great technical engineering education, but what sets us apart is our focus on educating the whole person who values collaboration, community-engaged learning and adaptation to change. We strive to develop engineers that are socially and globally aware, understand business and entrepreneurship, are prepared to take on leadership roles and are conscious of the consequences of their work — to society, the environment and the profession.

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