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This position will support deploying, integrating, maintaining, and developing components of this factory for our autonomy teams and customers within isolated/specialized environments\nWhat you'll do:\nWork with a small team of engineers and administrators\nIntegrate our AI training factory and tooling onto new hardware\nProvide software updates and configuration management between various isolated environments\nEnsure proper operation of our AI training factory and tooling\nCoordinate with autonomy teams to build and meet requirements\nSolve challenging and important problems\nRequired qualifications:\nTypically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.\n3+ years demonstrated experience with cloud computing solutions and architecture, with a focus on Kubernetes and container orchestration\nExperience with supporting C++ or Python-based applications\nSolid understanding of Linux/Unix-based systems (specifically in networking and experience in designing and implementing networked applications)\nBS/MS in Computer Science, similar degree, or equivalent practical experience\nDemonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others\nExperience debugging/troubleshooting deployed, distributed problems\nExperience developing and deploying automation tooling (ex. 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