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infrastructure, including the world’s first exaflop system, Frontier. The Team: As a Senior Research Software Engineer (RSE) in the Data and Platform Services (DAPS) group, you will work within the HPC Operations
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such as quantum and analog computational models. You will explore how compilers, runtimes, and AI-driven agents can co-optimize complex architectures, reasoning across conventional processors (CPUs/GPUs
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with data-driven modeling, including emerging approaches involving foundation models or scientific LLMs Special Requirements: This position requires the ability to obtain and maintain a clearance from
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minimum of 5 years of experience in data architecture, engineering, or backend systems Strong understanding of data modeling (relational and non-relational) Experience with SQL and at least one major
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integration frameworks, communication substrates, and programming models that bridge classical and quantum computational resources. Lead research and development efforts in next-generation interconnect
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. You will perform cutting-edge research on theory and modeling of dynamics in condensed matters. Major Duties/Responsibilities: Development of theoretical framework for driven and open quantum systems
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Experience with deep learning frameworks such as PyTorch or TensorFlow Exposure to AI-enabled scientific workflows that couple simulation with data-driven modeling, including emerging approaches involving
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or manufacturing systems. Experience with data analysis, modeling, or automation using tools such as Python, MATLAB, C#, C++, or similar engineering software environments. Experience with CAD/CAM/CAE tools such as
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leading scientists, engineers, and industry partners in a collaborative environment that values curiosity, innovation, and impact. The laboratory is committed to advancing scientific knowledge, driving
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science, electrical engineering, computer engineering, computer science, data science, applied mathematics, or a closely related field Demonstrated experience applying data analytics, statistical modeling