Yale University · 1 month ago
Lead Research Software Engineer
Yale University is dedicated to contributing to a better tomorrow and is seeking a Lead Research Software Engineer for the Yale Center for Geospatial Solutions (YCGS). This role involves designing scalable infrastructure and developing software systems to support geospatial discovery, AI applications, and data-driven decision making while mentoring a multidisciplinary team.
AssociationBusiness DevelopmentEducationMedicalSocial Entrepreneurship
Responsibilities
Designs, modifies, develops, writes and implements software programming applications
Supports and/or installs software applications/operating systems
Participates in the testing process through test review and analysis, test witnessing and certification of software
Familiar with a variety of the field's concepts, practices, and procedures
Relies on experience and judgment to plan and accomplish goals
Performs a variety of complicated tasks
May lead and direct the work of others
May report directly to a project lead or manager
A wide degree of creativity and latitude is expected
Qualification
Required
Proven ability to design and lead interdisciplinary software projects from concept to deployment
Expertise in spatial modeling, data fusion, and interpretation of complex computational outputs
Experience developing tools leveraging AI, NLP, and/or geospatial analytics for applied research
Exceptional ability to communicate computational concepts clearly to non-technical audiences
Demonstrated effectiveness collaborating across disciplines with senior faculty or staff, students, and technical staff
Requires a bachelor's degree in a related area and a minimum of four years of experience in the field or in a related area
Preferred
6+ years of professional programming experience with Python and at least one additional language (e.g., R, JavaScript, C/C++ or Rust)
Expertise in geospatial data structures, analysis, and visualization frameworks (e.g., GeoPandas, GDAL, Leaflet, Mapbox, or Cesium)
Experience building data pipelines and APIs for large, heterogeneous datasets
Strong familiarity with cloud and HPC environments (AWS, GCP, Azure)
Working knowledge of AI/ML frameworks (e.g., Hugging Face, LangChain, PyTorch) and GeoAI techniques
Experience with spatial databases and formats (e.g., PostGIS, GeoJSON, Parquet, Zarr, NetCDF)
Proficiency with data visualization and dashboard frameworks (e.g., D3.js, Plotly, Streamlit, Observable)
Familiarity with geospatial data portals (e.g., NASA Earthdata, Copernicus, Planet API, OpenStreetMap)
Demonstrated application of reproducible software development practices (GitHub/GitLab, CI/CD, testing, documentation)
Company
Yale University
Yale University is a research and education institution that prioritizes its students.
H1B Sponsorship
Yale University has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (355)
2024 (449)
2023 (214)
2022 (208)
2021 (190)
2020 (155)
Funding
Current Stage
Late StageTotal Funding
$42.86MKey Investors
Bezos Earth FundAlfred P. Sloan FoundationHyundai Hope On Wheels
2025-10-23Grant
2025-05-21Grant· $0.05M
2023-01-01Grant· $1.27M
Leadership Team
Recent News
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2025-12-10
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