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multiple languages. Proficient on a computer cluster and ideally programming with GPU nodes. Preferred Competencies Knowledge of relevant scientific fields and procedures. Work both independently and in
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. Prior work with databases used for organizing large-scale processing. Prior use of and/or software development with GPUs. Experience with visualization of large data sets. An understanding of how to make
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of six Campus Resource Core Facilities, over 70 Faculty Research labs, and Administrative support staff. Currently, the largest HPC Cluster on campus, it totals more than 10,000 CPUs, 60,100 GPU Cores, and
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more than 10,000 CPUs, 60,100 GPU Cores, and over 7,000 Terabytes of storage. Additionally, the number of connected workstations, laptops, and servers totals over 1,000. Windows, Mac, and Linux/UNIX systems
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-efficient designs, GPUs and HPC), Data Science/AI/Machine Learning (e.g., fundamentals, trust and explainability, LLMs, autonomous systems, computer vision), Security (e.g., fundamentals, hardware/software
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-on experience in one or more of the following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high
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work environment, collaborating with faculty, staff, students, and the broader UChicago community. Experience working with GPUs and remote computing environments. Knowledge of best practices around
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developing software in a Linux environment. Experience running numerical experiments on shared HPC facilities (e.g., GPU clusters). Experience in team collaboration in software development and awareness
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: Experience in real-time simulation hardware like Opal-RT and RTDS. Experience with software development. Experience with use of DSPs, FPGAs, advanced computing (e.g., GPUs, QPUs). Excellent written and oral
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at MGHPCC facility (i.e., data center, compute, storage, networking, and other core capabilities). Deploy, monitor, and manage CPUs, GPUs, storage, file systems, networking on HPC systems. Develop and deploy