Open Source Software Engineer
University of Chicago
The University of Chicago Data Science Institute (DSI) is a collaboration of scholars, researchers, educators and practitioners pursuing the methodological, societal, and domain-oriented challenges of our increasingly data-centric world. The DSI is a research center setting the intellectual agenda for the field and an innovator and provider of data education at the undergraduate, graduate and professional levels. Integral to DSI’s success includes the rewarding engagement outside the walls of the University through meaningful partnerships with industry, government and the community.
About the Department
Reporting to the manager of the Data Science Institute (DSI) Core Facility, the Open Source Software Engineer (OSSE) will support the development of code and open source software that assists in the execution of research priorities of the institute, its faculty, fellows and graduate students. They will collaborate with the rest of the Core Facility to support and engage with interdisciplinary research groups across the University of Chicago to determine requirements, iterate on architectural specifications, and produce robust and scalable systems that meet identified needs in computer, mathematical, and natural science data-based research. The OSSE will perform a variety of activities related to analysis, design, development, debugging, and modification of computer code for software and configuration management. Some amount of time in this role will allow for development of the applicant’s own open source software contributions, research and non-assigned software projects to advance their career, knowledge, and stay aware of and engaged with emerging technologies and trends in the open source software community.
Designs, builds, tests and debugs new and existing complex software programs.
Manages and successfully moves forward multiple complex open source projects simultaneously, supporting faculty and postdoctoral scholars in their research aims.
Devises and implements algorithms.
Deploys systems on both cloud-based and physical hardware.
Resolves complex system software problems.
Independently executes feature requests from stakeholders, relying on the PI and project manager primarily for general direction, goal setting, and design outlines.
Collaborates with team members in developing software that improves testability and fault-tolerance, striving to improve the overall system-level quality.
Designs new systems, features, and tools. Solves complex problems and identifies opportunities for technical improvement and performance optimization. Reviews and tests code to ensure appropriate standards are met.
Acts as a technical consultant and resource for faculty research, teaching, and/or administrative projects.
Performs other related work as needed.
Education:Minimum requirements include a college or university degree in related field.
Master’s degree in computer science or related field.
Experience in one or more of the following--computer vision, optimization, time-series forecasting, natural language understanding, data mining, and/or visualization; research experience developing and testing machine learning models; familiarity with one or more cloud platforms; and experience with virtualization and containerization.
Experience with academic research.
Experience in applied machine learning.
Experience with scientific computing.
Experience with faculty and or students in higher education.
Technical Skills or Knowledge:
Experience with Linux.
Professional experience with one of the major cloud providers (AWS, GCP or Azure).
Cover Letter (preferred)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Scheduled Weekly Hours
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
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We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.
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