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Strong foundation in CFD, Programming proficiency such as Python, AI/ML techniques, Experience with parallel computing on CPU/GPU cluster, use of CUDA, MPI is a plus. Experience Experience with open-source
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. Implement Docker-based deployment, memory footprint reduction, and GPU acceleration. Collaborate with algorithm and hardware teams for integration and benchmarking. Job Requirements: Master’s with experience
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big data technologies (e.g., Hadoop, Spark). Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with data governance and compliance standards. Familiarity with CPU/GPU
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: Proficiency in Python, PyTorch, JAX, or other ML frameworks - Computing: Experience with large-scale datasets, parallel computing, and GPUs/TPUs. - Algorithm Development: Ability to develop and optimize Machine