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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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Intelligence (AI) High performance Computing (HPC) IT and Linux Systems Engineering Finance Procurement and other Military Occupational Code (MOC) projects Service members will also have the opportunity
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and explain complex data and model results to technical and non-technical audiences Contribute to research proposals and statements of work Deliver ORNL’s mission by aligning behaviors, priorities, and
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clearance, DoD TS with SCI and Poly Understanding of multidimensional and tabular modelling, vector databases, Graph DB. Experience using Microsoft Visual Studio or Visual Studio Code, Python, PyTorch
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emergent outages. Ensure compliance with applicable environmental, safety, and regulatory requirements including EPA regulations, refrigerant management requirements, pressure vessel code requirements, NPDES
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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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sponsor needs. This is not a remote or hybrid position. Major Duties / Responsibilities: Develop complex 3D models, 2D fabrication prints, P&IDs, electrical one lines, schematics, wire diagrams, etc
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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
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based subject areas that require a design component to facilitate system evaluation, operation and training. Additional duties may include assisting in establishing engineering safety and code-based
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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