Full Stack Materials Database Programmer for ML/AI Integration

Q-NEXT and the Argonne Quantum Foundry invites applications for a Full-Stack Database Programmer / Technical Developer to support the development, implementation, and maintenance of data infrastructure used in materials synthesis, model and experiment interoperability, autonomous discovery and closed-loop AI/ML frameworks. The successful candidate will contribute to improving the laboratory’s quantum materials data pipeline by helping consolidate legacy, fragmented systems into a unified, high-performance, and scalable database architecture based on the LiST codebase model. Joining a dynamic, collaborative team working across Q-NEXT, Penn. State, the Argonne community, and partners at the University of Chicago, the candidate will support the acceleration of Q-NEXT’s materials development thrusts and future AI/ML/modeling-forward efforts.

The primary focus of this position is to support the design and implementation of robust relational and non-relational database schemas capa...