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fleet of edge computing devices, cloud infrastructure, and data pipelines. Works independently and exercises significant judgment on complex projects, sets technical direction, and mentors’ junior
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one or more of the following subject areas: AI, machine learning, analytics, cloud computing, computer programming, cybersecurity, data management, ERP, networking, project management, information
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, and computational workflows, including the use of high-performance computing resources as appropriate. Decision Making: Develop and implement numerical models describing laser-induced plasma formation
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modeling, number theory, scientific computing, and topology, as well as applications of these areas. The Department of Mathematics has around 150 undergraduate majors and 73 graduate students, with
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genetic and multi-omic data integration. Experience with reproducible scientific computing, documented software, or Linux/HPC computing. Ability to communicate research findings clearly through
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. At least two years of experience in Fortran and/or C++, Python, high-performance computing, and Linux computing environments. Experience communicating scientific results, such as through conference
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federal facility, and requires the ability to pass a tier one federal background check for building and high-performance computing (HPC) access. An onsite presence at the laboratory in Boulder, CO is
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. Demonstrated proficiency with scientific computing and programming languages, including R, MATLAB, Python, or similar platforms. Research experience examining wildlife responses to human activity
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managing a distributed network of computing nodes. Develop new features for AI-enabled data analysis and autonomous control at the edge. Develop and maintain software infrastructure through patches
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ability to develop and apply Geographic Information Systems (GIS) methods and tools. Demonstrated proficiency with scientific computing and programming languages, such as MATLAB, R, Python, or similar