HPC Architecture: Capability to design complex end-to-end HPC and AI architectures, including servers, storage, networking and management software, in collaboration with and leading a team of in the different areas. * HPC Software: Familiarity with MPI, job schedulers (e.g. Slurm), containerization, AI frameworks (TensorFlow, PyTorch) and other systems management tools (such as Open Nebula or similar ones). * Cloud & Hybrid HPC: Familiarity with the Integration of on-prem HPC clusters with cloud AI services for burst capacity and model training. * Partner with the main technical stakeholders such as other specialized presales teams (networking, storage) and third party providers, partners and alliances (e.g. Supermicro, Nvidia, AMD, Intel, other storage and software providers…) to define the adequate architectures in each case. * Education: Degree in Computer Science, Engineering, or related field.
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