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upgrades for leadership-class and research computing systems. Develop and maintain automation, configuration management, and monitoring solutions using tools such as Ansible, Puppet, Bash, or Python
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, or CosmosWorks. Experience in hardware system integration (LabView, PLC programming, etc.) to control a mechanical system. Familiarity with computer programming languages like C, C++, Python, or MATLAB
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experience. Understanding of biogeochemical and ecological processes. Programming experience in Fortran, python, R, or a related language. Experience in geospatial and/or time series data analysis. Evidence of
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Proficiency in Python and experience with scientific computing and ML libraries (e.g., NumPy, pandas, scikit-learn, PyTorch) Demonstrated experience building end-to-end machine learning pipelines, from feature
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, Python, Bash, and GitLab CI. Support the use and understanding of in-house Kubernetes operators and serve as a secondary maintainer for those controllers. Hardware and Infrastructure Management Write and
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languages, such as Python and C++. Demonstrated experience in structural materials, such as research in phase transformations or mechanical behavior. Demonstrated effective written and oral
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, Information Systems, Engineering, or closely related field. Significant expertise with the Python ecosystem for data science. Significant expertise with PyTorch or Tensorflow. Preferred Qualifications
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learning algorithms for engineering systems Programming experience in FORTRAN, C, or C++ and scripting experience in Python or similar languages Experience with parallel computing environments and Linux
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or autonomous tools within complex pipelines. Proficiency in modern AI frameworks and tools (e.g., PyTorch, TensorFlow, LangChain, MCP SDKs) and programming languages (Python, C++). Experience with provenance
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development experience in C++ or Python Experience performing independent research, as evidenced by thesis or peer-reviewed publications Ability to perform field work (e.g., data collection in remote, harsh