Define the technical vision and roadmap for the end-to-end system performance model for a topological quantum computing platform, connecting physical qubit behavior to representative quantum workloads and system-level outcomes. Integrate subsystem modeling efforts across quantum error correction, qubit performance, readout, and the pulsing and control chain into a consistent performance-prediction framework. Define interfaces, assumptions, and validation criteria for subsystem models, and work with domain experts to resolve inconsistencies, quantify uncertainty, and close modeling gaps. Develop common frameworks that compose multiple analytical and simulation models. Use integrated models to evaluate architectural trade-offs, identify performance gaps and critical uncertainties, and influence technical roadmaps across multidisciplinary teams. Leverage modern AI tools to accelerate model integration, rapid prototyping, performance analysis, and engineering productivity while maintaining rigorous validation and traceability. Embody our Culture and Values. Doctorate in Physics, Engineering, or related field AND 3+ years experience in industry or in a research and development environment; OR Master's Degree in Physics, Engineering, or related field AND 6+ years experience in industry or in a research and development environment; OR Bachelor's Degree in Physics, Engineering, or related field AND 8+ years experience in industry or in a research and development environment; Ability to use AI tools to improve engineering productivity, including performance analysis, research synthesis, and routine workflow automation. Ability to work effectively in an AI-first environment by incorporating modern AI tools into day-to-day hardware development and decision-making. Doctorate in Physics, Engineering, or related field AND 5+ years experience in industry or in a research and development environment OR Master's Degree in Physics, Engineering, or related field AND 8+ years experience in industry or in a research and development environment OR Bachelor's Degree in Physics, Engineering, or related field AND 12+ years experience in industry or in a research and development environment OR equivalent experience. Demonstrated familiarity with quantum computing systems, including physical qubit modeling or control & readout modeling Experience developing, integrating, or validating quantitative models for complex systems. Experience designing modular, composable modeling frameworks with well-defined interfaces, provenance, and reproducible execution. Demonstrated ability to integrate work across multidisciplinary teams and clearly communicate model assumptions, limitations, uncertainty, and recommendations. Experience applying modern AI tools or agentic workflows to accelerate scientific modeling while maintaining validation and traceability.