Principal Quantum Systems Modeling Engineer
Core
Define technical vision and roadmap for end-to-end system performance models connecting physical qubit behavior to quantum workloads and system-level outcomes for a topological quantum computing platform.
Role type
Principal Quantum Systems Modeling Engineer
Builds
Consistent performance-prediction frameworks integrating subsystem models (error correction, qubit performance, readout, control chain) and common analytical/simulation frameworks.
Domain
Quantum Computing / Systems Engineering
Deliverable
production ML models
Required skills
Quantum computing systems modeling, complex system quantitative modeling, modular composable framework design, multidisciplinary team integration, modern AI tools for engineering productivity, uncertainty quantification, technical roadmap influence
Preferred skills
AI-first environment integration, agentic workflows for scientific modeling, rigorous validation and traceability
Technologies
Modern AI tools, agentic workflows
Responsibilities
Define interfaces, assumptions, and validation criteria for subsystem models; resolve inconsistencies and close modeling gaps with domain experts; evaluate architectural trade-offs and identify performance gaps; leverage AI tools to accelerate model integration and prototyping.
Seniority
Principal, strategy & mentorship
