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-to-end GPU timing; document limitations and extrapolation behavior. Implement, test, document, and maintain open-source Python/JAX research software; collaborate with researchers to connect trained models
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. Demonstrated experience with training and calibrating other large-scale complex models. Demonstrated ability to pretrain large-scale models from scratch, including distributed multi-GPU training. Demonstrated
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modules, AWS, Azure, GCP, or comparable services. Experience supporting GPU, AI/ML, CPU-intensive, statistical, imaging, compiler/toolchain, Fortran, MATLAB, R, Python, CUDA, or other discipline-specific
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computing environments, e.g. HPC cluster (CPUs and GPUs) or cloud. Proficiency with high-performance computing and system architecture. Advanced knowledge relating to highly complex database system design