Argonne National Laboratory's Rapid Prototyping Lab (RPL), part of the Data Science and Learning division, is seeking a Software Engineer to serve as a technical lead for the Modular Autonomous Discovery for Science (MADSci) framework — an open-source, Python-based platform that orchestrates self-driving laboratories across materials science, chemistry, and the biosciences.

MADSci is the software backbone of Argonne's Autonomous Discovery initiative. It integrates instruments, robots, AI/ML decision agents, and data pipelines into reproducible, closed-loop scientific experiments at scales and speeds that exceed traditional human-led methods.

The framework is currently deployed in projects ranging from energy-storage materials and antimicrobial discovery to isotope production for medical applications, and is used by collaborators across DOE laboratories, universities, and industry partners.

The successful candidate will take primary technical responsibility fo...