72 cloud-computing-"https:"-"https:"-"https:"-"https:" positions at California Institute of Technology
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-wave Observatory) seeks a highly motivated and skilled LIGO Science Education Center Program Leader to join its education and public outreach team. This position is located in Livingston, LA and is an in
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, tiff, pdf) Automating and improving the management of our repositories (move data to GitHub or other cloud-based repository) Streamline deployment of software into test and production environments
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methodologies, as well as experience in Interaction Design. Preferred Qualifications Familiarity with visualization tools (like VTK), state container web technologies (like Redux), cloud computing (AWS), cluster
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engineering and scientific team members on tasks to develop, operate, and test large, automated pipelines in a cloud environment that process images taken with the Wide-Field Instrument on the Roman Telescope
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software such as QuickBooks, Oracle, SAP, Microsoft Office 365 (Outlook, Excel, Word, Teams, SharePoint), Adobe Creative Cloud, UKG timekeeping system, and online productivity tools. Preferred Qualifications
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interest in joining our team: Bachelor’s or equivalent degree in Computer Science/Engineering, Information Sciences, or related field. A minimum of 5 years of relevant professional experience. Strong Linux
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world-leading scientific computing team and will have the opportunity to use their skills to contribute significantly to cutting edge data science. Essential Job Duties Design, implement, and maintain
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on the ability to share ideas in a collaborative setting. Preferred Qualifications Proficiency in coding with Python. Familiarity with PostgreSQL. Experience submitting batch jobs in a cloud computing environment
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Experience with cloud computing environments Network performance measurement and optimization skills. Familiar with systems and network security best practices. Ability to collaborate with others on a small
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-of-the-art algorithms for detecting and classifying safe landing zones using computer vision techniques in order to design and develop custom models for detecting landing zones in real-time based on drone