141 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at Oak Ridge National Laboratory
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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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development lifecycle from planning to operations. Understanding of cloud and cloud-native technologies and infrastructure-as-code for automated deployment for distributed systems. Experience in software
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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
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Develop, maintain and review high quality code for internal tools using programming languages such as Python, Golang, or Rust Identity Management and Security: Deploy, configure and support identity and
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. Create Isometric drawings for weld tracking. Produce accurate inspection records. Qualification of welding procedures for compliance with ASME & AWS codes. Welder and welding operator qualification and
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distributed codes using MPI, OpenMP, CUDA, ROCm, and related HPC technologies while bridging theoretical AI models with real hardware constraints. Cross‑Paradigm Integration(new optional emphasis): Explore how
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Research Code of Conduct and the Safe Conduct of Research Principles Basic Qualifications: Requires a Ph.D. in an engineering or scientific discipline with a minimum of one-year relevant experience, a M.S
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of codes and standard practices. Document work performed in the forms of work instructions, drawings, and models. All team members deliver ORNL’s mission by aligning behaviors, priorities, and interactions
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applicable codes and nuclear quality requirements. Many of the nuclear-safety-credited I&C components control building ventilation systems. This role requires a thorough understanding of the operational
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development practices. Fluency in multiple scientific programming languages (e.g. Python, Julia, Fortran, C++) and awareness of AI-assisted coding techniques. Interest in applying AI/ML methods to scientific