Quantum System Performance Modeling Lead

This role involves defining the technical vision and roadmap for end-to-end system performance modeling in a topological quantum computing platform. The position requires integrating subsystem models across quantum error correction, qubit performance, and control chains into a unified performance-prediction framework. The role focuses on evaluating architectural trade-offs and leveraging AI tools to accelerate model integration and engineering productivity.