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Open Source Software Engineer
Job Description
Department
About the Department
Job Summary
A portion of this role will directly support the AI and Science Postdoctoral Program and PI/faculty collaborators on this program, which is focused on training a generation of domain scientists with deep theoretical and practical understanding of artificial intelligence. Interest in and understanding of machine learning and artificial intelligence is preferred in candidates applying for this position.
Responsibilities
Designs, building, testing and debugging new and existing complex software programs.
Manages and successfully move forward multiple complex open source projects simultaneously, supporting faculty and postdoctoral scholars in their research aims.
Devises and implement algorithms.
Deploys systems in simulation and on physical hardware.
Resolves complex system software problems.
Independently execute 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 quality of software of individual team members as part of improving 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.
Perform other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.---
Work Experience:
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Certifications:
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Preferred Qualifications
Education:
Master’s degree in computer science or related field.
Experience:
Experience in software engineering or programming field.
Experience with software development practices.
Software design experience.
Ability to work with substantial existing codebases.
Excellent project management, analytical, problem-solving, organizational, decision-making, and written and verbal English communication skills.
Ability to work effectively and productively in a highly dynamic hybrid environment across all levels with faculty, staff, students, and other members of the UChicago community.
Background in building web applications and APIs that power them.
An interest in and experience writing software to support data-driven applications and research.
Technical Skills or Knowledge:
Experience with Linux, ROS, and/or with C++ and Python.
Understanding of software development practices, including git-based version control and CI/CD.
Preferred Competencies
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 ization.
Experience with academic research.
Experience in applied machine learning.
Experience with scientific computing.
Past work with faculty and or students in higher education.
Application Documents
Resume/CV (required)
Cover Letter (required)
References Contact Information (3) (preferred)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Role Impact
FLSA Status
Pay Frequency
Scheduled Weekly Hours
Benefits Eligible
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Posting Statement
Employees must comply with the University’s COVID-19 vaccination requirements. More information about the requirements can be found on the University of Chicago Vaccination GoForward .
The University of Chicago is an Affirmative Action/ Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
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.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
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