This requires an advanced software infrastructure that ties together robotic systems, AI-driven decision-making, experiment orchestration, and scientific data management into a coherent, scalable platform. * Ensure platform reliability, fault tolerance, and reproducibility — including logging, error handling, and system state management at scale * Develop internal tooling and developer interfaces that allow engineers, computer scientists, and chemists to interact with the platform without coupling to its internals * Evaluate and adopt relevant open-source technologies and contribute back to the scientific software community in line with CTC's open science mission
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