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, and parallel computing, with a proven ability to work within highly secure and regulated environments. This role involves close collaboration with security teams, scientists, and IT leadership to ensure
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executing in a high-performance computing environment Use of AI/ML techniques to develop surrogate models and support scientific discovery Experience in multiphysics modeling Experience in parallel
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. Experience with heterogeneous and parallel computing technologies, programming models, or accelerators, including CPUs, GPUs, FPGAs, and emerging computing technologies. Familiarity with quantum software
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Qualifications: Competency in C, Rust or Julia. Experience in software design/architecture Experience with parallel programming middleware, including MPI, OpenMP and CUDA. Knowledge of research software
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management of HPC systems within a classified environment. We are looking for candidates with experience in HPC architecture, cluster management, and parallel computing, with a proven ability to work within
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and cloud computing platforms. Formulating necessary solutions using various parallel computing paradigms and tools, HPC schedulers (such as slurm), Containers and Kubernetes, Python, Bash and other
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Language Models (LLMs). Distributed Machine Learning: Specialization in data parallelism, model-parallelism, and collective communication strategies in large-scale environments. Proficiency in frameworks
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massively parallel algorithms and code performance profiling are a plus. Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must
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management of High-Performance Computing (HPC) systems within a classified environment. We are looking for candidates with experience in HPC architecture, cluster management, and parallel computing, with a
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, and measure success. Basic Qualifications: PhD in Plasma Physics, Electrical Engineering, Nuclear Engineering, or a closely related field completed within the last 5 years, or expect to complete a PhD