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or OpenMP. Experience in heterogeneous programming (i.e., GPU programming) and/or developing, debugging, and profiling massively parallel codes. Experience with using high performance computing (HPC
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://careers.temple.edu/sites/careers/files/documents/T_Salary_Structure.pdf Position Summary: The Research Engineer will be responsible for the smooth operation of the VIDAR Lab hardware and software stacks, including GPU
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modules, and monitor training progress. Display performance metrics (e.g., inference time, GPU utilization, throughput, ROI impact) in real time. System Integration Work with the research team to connect AI
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scale (multi petabyte) data storage infrastructure which may include 3rd party filesystems, management tools and interfaces. • High performance computing clusters. Currently slurm-based with CPUs, GPUs
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languages, and preferably including GPU programming and performance optimisation of code. Prior experience with error correction for communication systems, and the decoding algorithms used, would be
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publications in peer-reviewed journals or conference proceedings, showcasing contributions to the advancement of HPC technologies. Specialized skills in specific areas of HPC, such as GPU programming, quantum
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Engineers. Serve as liaison with Princeton Research Computing staff on GPU cluster related issues. Professional Development Learn the underlying science, mathematics, statistics, data analysis, and algorithms
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communication with a record of leading and reporting results. Desired Qualifications: Knowledge of quantum computing algorithms. Familiarity with tensor network methods. Experience programming GPUs. Experience
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contributing to peer-reviewed journal articles and funding proposals. Experience working in high-performance computing environments, including on both CPU and GPU clusters. Experience in implementing, testing
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the computer science research conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings