Physics Informed Machine Learning Scientist

Join a pioneering research team developing next-generation lithography light source technologies. Our laser-produced plasma (LPP) system integrates high-power lasers, advanced optics, plasma-based EUV generation, sensing, and algorithm-driven control. The Physics Informed Machine Learning Scientist works on the Virtual Source team building integrated master-model frameworks to capture the tightly coupled, multi-physics behavior of the system—enabling system-level optimization, reducing uncertainty in future source configurations, and guiding early technology decisions. This role operates at the intersection of science, engineering, and modeling to define future source architectures. You will contribute by building data pipelines, developing data analysis and ML methodologies, integrating and advancing models, and defining validation experiments on test benches and research systems to anchor Virtual Source.