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images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed
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develop software for high-energy particle physics. Optimize software for performance, scalability, and efficiency on modern computing architectures, including HPC and distributed systems. Participate in
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physics. Optimize software for performance, scalability, and efficiency on modern computing architectures, including HPC and distributed systems. Participate in research and development activities
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develop software for high-energy particle physics. Optimize software for performance, scalability, and efficiency on modern computing architectures, including HPC and distributed systems. Participate in
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researchers, HDSI technical leadership, and the alliance team to deliver production-grade research software and reusable technical patterns that benefit multiple projects across the Impact Computing umbrella
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. Formulating necessary solutions using various parallel computing paradigms and tools, HPC schedulers (such as slurm), Containers and Kubernetes, Python, Bash and other scripting/programming languages in
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Qualifications Experience: Relevant programming experience developing, implementing, debugging, and maintaining applications with Python. Experience working with high performance computers (e.g., parallelizing and
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transformative paradigm. By taking advantage of qubits' ability to exist in multiple states simultaneously and exploiting the probabilistic and delocalized behaviors of quantum systems, quantum computing promises
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at least one of: High-Performance Computing Distributed Systems Parallel Computing High Performance Algorithms Multiple Linux distributions · Experience with SLURM or similar HPC schedulers
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including workload schedulers, storage systems, and distributed compute nodes. Applies analytical methods to evaluate system performance, identify bottlenecks, and implement corrective actions to improve