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About the role
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.
More about this role
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...
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