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approaches to optimize the trade-off between privacy and utility especially in the context of large models. Advance knowledge of key AI methods such as deep learning, algorithm design, probability theory
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characterization, and predictive fault tolerance in HPC systems. Architectural exploration and performance modeling of high-bandwidth memory (HBM) and DDR memory systems in the context of data-intensive scientific
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Provide technical leadership within the context of project in support of international safeguards Actively participate in relevant professional organizations Participate in field deployment of software
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, enabling manual and automated adversarial testing at scale. Build and integrate AI-on-AI testing infrastructures, where AI models can actively challenge each other in adversarial contexts to detect
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, enabling manual and automated adversarial testing at scale. Build and integrate AI-on-AI testing infrastructures, where AI models can actively challenge each other in adversarial contexts to detect
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willingness to apply those skills to a variety of problems, and the ability to determine and understand the broader context of their research. Preferred Qualifications: Demonstrated history of working with and
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agency representatives. Preferred Qualifications: Individual must be comfortable working in a diverse technical field and analyzing those technologies in the context of changing laws and regulations. A
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. Experience working in or coordinating across DOE national laboratory environments, particularly in the context of integrated or cross-facility research infrastructure. Background in scientific data management
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operational and decision-support contexts. Collaborate with research staff to integrate new data sources, indicators, and modeling approaches into existing workflows; communicate clearly across technical and
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Context Protocol (MCP) or comparable orchestration/integration patterns Proficiency in Python and backend system design Experience with containerization and deployment (Docker, Kubernetes) Preferred