System Modeling Lead

Key responsibilities: Build predictive system-level quantum performance models by interpreting component performance and system configurations Develop coherent, reusable system abstractions that support control and validation workflows while masking unnecessary implementation details Drive model validation and closure by partnering with teams to compare model predictions against real measurements and quantify prediction errors

Required qualifications: MS in Systems Engineering, Applied Mathematics, Physics, or related field with 10+ years of relevant experience, or PhD with 6+ years of experience Strong foundation in systems modeling for complex, multi-domain physical systems and understanding of signal processing Advanced proficiency in Python scientific computing and experience with production-quality simulation software Exceptional written and verbal communication skills for explaining technical concepts to diverse audiences Intellectually curious mindset, comfortable working across abstraction levels and iterating designs based on evolving data