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understanding of parallel application development techniques (parallel programming models, algorithms, and software) Preferred Qualifications: Experience in implementing ab initio simulation codes such as VASP
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the following areas is preferred, and an exceptionally strong candidate in a single area is also encouraged to apply. Relevant areas include: Parallel and distributed graph and or ML algorithms
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, or similar). Experience with parallel programming frameworks (e.g., MPI, OpenMP, CUDA) and high-performance interconnects (e.g., InfiniBand). Active DOE Q, active DOD Top Secret, or active DOD TS/SCI clearance
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success. Basic Requirements: Ph.D. in Data Science and Engineering, Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a closely related field. Strong programming proficiency in
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and teaches in the classroom, laboratory, and clinical settings. Under the direction of the EMS Program Director, the EMS Instructor is responsible for preparing, delivering didactic, and laboratory
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management, parallel computing, and performance optimization while helping evaluate and introduce emerging technologies that advance mission capabilities. You will work alongside a multidisciplinary team of
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limited to: HPC file transfer and parallel programming, among others. Benchmarking Computational physics Artificial Intelligence At the end of the internship, you will have the opportunity to present
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. Experience with performance tuning and benchmarking tools for HPC environments (e.g., Ganglia, Grafana, or similar). Experience with parallel programming frameworks (e.g., MPI, OpenMP, CUDA) and high
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represent the organization by giving technical presentations to DOE program managers and in large public forums. Basic Qualifications: A PhD or equivalent experience in nuclear, mechanical, or chemical
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common scientific programming languages such as C++, Python, and/or Julia and version control systems. Experience in parallel programming with one or more common parallel programming models, like MPI