Software Engineer Research Systems Program
Hyde Park Campus
About the Unit
Globus, a unit in the Office of Research, Innovation, and for National Laboratories (RINL), provides high-end research computing resources to researchers at the University of Chicago. Globus (www.globus.org) delivers commercial-quality, cloud-based software application and platform services to global, non-profit research communities, as a sustainable, non-profit business within The University of Chicago.
As a member of the parallel scientific workflow team, the successful candidate will contribute to the development of Parsl (parsl-project.org) a Python library designed to support implicitly parallel execution of scientific workflows at scale. Parsl aims to enable parallel execution of a range of large-scale many-task, interactive, online, and data science applications on a variety of computing resources: from personal computers through to some of the world's largest supercomputers.The position is ideally suited to someone with a passion for Python and parallel computing. It requires a broad range of skills and expertise that span parallel programming models, workflow models, experience with a variety of distributed and parallel computing systems and platform types that comprise the computational science computing environment.
- Under general direction from the project's management team, responsibilities include:
- Architecture and Design: Lead and/or participate in the definition and documentation of requirements, architecture and design of complex systems, based on knowledge of relevant software technologies being developed and/or used in commercial and scientific communities.
- Software Development: Develop, test, document, deploy, and maintain high quality software, including software libraries, cloud-hosted systems, REST services, command line interfaces, and distributed resource integration software.
- User Community Engagement and Support: Work directly with end users, to provide technical support services and to apply workflow technology to real-world scientific projects.
- Parsl is currently applied to a wide range of scientific problems including efforts to explore dark energy, understand cancer heritability, and apply machine learning techniques to guide the creation of new materials.
- Research: Participate in and contribute to research efforts related to the software, including collecting and analyzing usage and performance data, and writing research papers for journals and conferences.
- Knowledge of parallel programming models
- Knowledge of concepts, practices, and procedures of software development
- Excellent verbal and written communication skills
- Ability to use standard software development applications and tools
- Ability to use analytical and quantitative skills and diagnostic techniques to resolve problems
- Ability to manage complex technical details
- Ability to work in a collaborative team environment
- Confidentiality related to sensitive University matters such as, strategic initiatives, trade secrets, quiet periods, and scientific discoveries yet to be put in the public domain
- Ability to work on a flexible schedule which will include occasional late night and/or weekend hours
Education, Experience, and Certifications:
- Bachelor's degree in computer science or another relevant computer related field.
- Advanced degree in computer science, computational science, electrical engineering, or a related field.
- Three years of relevant programming experience developing, implementing, debugging, and maintaining applications with Python, Java, C, and/or C++
- Significant experience with Linux, shell, and/or scripting
- Experience with automated unit and integration testing tools (e.g., Nose or Jenkins)
- Experience with a distributed revision control system (e.g. Git)
- Experience with Jupyter, IPython Parallel Framework, Python 3 asynchronous programming facilities.
- Experience in parallel programming, for example using message passing (e.g., MPI), multithreaded (e.g., OpenMP or PThreads), and/or data parallel/accelerator programming (including CUDA, OpenCL, and/or Open ACC).
- Experience with SQL (e.g., Postgres) and/or NoSQL (e.g., Mongo) databases
- Experience with running scientific workflows on clouds, clusters, or supercomputers
- Experience with scientific workflow languages or programming models
- Familiarity with HPC resource schedulers (e.g., PBS, SLURM, Condor, etc)
- Experience with Web and Cloud security technologies (e.g. SSL, OAuth2,
- Experience with cloud infrastructures (Amazon Web Services, Google Cloud Platform, Azure, OpenStack)
NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application
Depends on Qualification
Scheduled Weekly Hours
Job is Exempt?
Drug Test Required?
Does this position require incumbent to operate a vehicle on the job?
Health Screen Required?
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