Research Software Engineer

3 days ago


Burlington, Vermont, United States InsideHigherEd Full time
Job Summary

We are seeking a highly skilled Research Software Engineer to join our team at the Vermont Complex Systems Center. As a key member of our team, you will be responsible for designing, implementing, and maintaining robust software solutions for academic research. Your expertise in software development, large data systems, and open-source principles will be crucial in driving our research forward.

Key Responsibilities
  • Develop software tools and optimize algorithms for research applications
  • Collaborate with researchers, data scientists, and other stakeholders to design and implement software solutions
  • Ensure the reliability and scalability of research applications
  • Disseminate scientific software and research findings through the Alfred P. Sloan Foundation VERSO Open Source Program Office and other initiatives
  • Participate in research discussions, contribute to project planning, and provide expertise on software best practices
Requirements
  • Combination of education and/or applicable experience equivalent to a graduate degree in a STEM-related field relevant to software development and large data systems
  • Demonstrated portfolio of open-source contributions and software work in higher education, research institutions, or industry
  • Clear understanding of open-source principles and governance
  • Programming experience with multiple languages such as Python, C, C++, R, and bash, and experience with software version control like Git
  • Experience with high-performance computing infrastructure and GPUs
  • Experience with non-relational databases like MongoDB
  • Experience with agile project management and team-based software development
Desirable Qualifications
  • Experience teaching open-source software engineering at the university level
  • Ability to educate graduate students and researchers about research-related open-source software
  • Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management
  • Experience creating, using, and updating automated testing
  • Experience working at an academic institution
What We Offer

We offer a competitive salary and a generous benefits package. Renewal for additional years is possible, contingent on the availability of funds. The expected start date is flexible and can be any time in Fall 2024.


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