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Field
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. Preferred Qualifications Experience with: C/C++, Python, MATLAB, ROS 1 and 2, OpenCV, Unity, GPU programming, linear and nonlinear control theory, supervised, unsupervised and reinforcement learning, Torch
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-edge GPU clusters housed at IACS and CEWIT. The Empire Innovation Professor will join a robust community of scholars committed to advancing AI research for scientific discovery and engineering design
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computationally demanding. For example, it solves dynamic programming problems with GPU acceleration to make forecasts within a reasonable amount of time. The Software Engineer improves the OLG model codebase by
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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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Linux kernel internals, computation accelerators (e.g., GPU computing, CUDA), MPI, and OpenMP. Highly resourceful and adept at juggling multiple simultaneous projects. Must demonstrate ability to work
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Experience in parallel programming and heterogeneous computing (e.g. GPUs) OTHER INFORMATION: LOCATION: Upton, NY Domestic and some international travel is anticipated. Brookhaven National Laboratory is
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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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computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI environments and tools. Prior experience
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, MATLAB, Git, debugging, and modern software engineering practices. Experience with GPU computing (e.g., CUDA, HIP), parallel computing (e.g., MPI, Actor Model). Familiarity with containerization (e.g
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for earth system science C++ programming skills and model simulations on GPUs E3SM, CESM, and WRF model experience Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term