422 coding "https:" "https:" "https:" "https:" "https:" "U.S" positions at Oak Ridge National Laboratory
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/or machining process optimization Hands-on experience with CNC machine tools, machine controllers, G-code, CAM software, machining process planning, fixture design, and practical manufacturing
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marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive
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and quantification Demonstrated expertise in design and implementation of multi-physics codes for metal AM applications including thermo-mechanical response as well as microstructure and phase
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marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive
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combination of education and experience may also be considered. Experience with software development life cycle, including version control with Git, code review practices, and collaborative development
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activities, technical training to strengthen core capabilities. Provide mentorship, technical guidance, and code reviews to promote software engineering best practices within the team Basic Qualifications: BS
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Requisition Id 16687 Overview: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges
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such as SCRUM. Strong foundation in machine learning, deep learning, or computer vision Strong Python development skills and familiarity with git, CLI tooling, VS Code Proficiency with PyTorch and/or
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application of computational modeling, simulation, and data-driven tools for advanced composite manufacturing processes and structures. Develop software, coding frameworks, and digital workflows for process
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Pro). Experience auditing source code and disassembly to identify and characterize vulnerabilities Familiarity with embedded systems preferred Prior use and familiarity with web or network-related tools