Principal Quantum Systems Modeling Engineer

What you'll do

• Define the technical vision and roadmap for end-to-end system performance models for topological quantum computing platforms.
• Integrate subsystem modeling across error correction, qubit performance, readout, and control chains into a unified framework.
• Establish interfaces, assumptions, and validation criteria for various subsystem models to resolve inconsistencies and quantify uncertainty.
• Develop common frameworks that compose multiple analytical and simulation models into a consistent prediction system.
• Use integrated models to evaluate architectural trade-offs and identify performance gaps to influence technical roadmaps.
• Leverage modern AI tools to accelerate model integration, rapid prototyping, and engineering productivity while maintaining rigorous validation.

What we're looking for

• A Doctorate in Physics or Engineering with 3+ years of experience, a Master's with 6+ years, or a Bachelor's with 8+ years is required.
• Candidates must be able to pass Microsoft Cloud Background Checks and meet export control requirements (ITAR/EAR).
• Candidates must provide proof of citizenship or U.S. permanent residency for access to export-controlled information.
• Ability to use AI tools to improve engineering productivity, research synthesis, and routine workflow automation is required.
• Ability to work effectively in an AI-first environment incorporating modern AI tools into hardware development is required.
• A Doctorate with 5+ years experience, a Master's with 8+ years, or a Bachelor's with 12+ years is preferred.
• Familiarity with quantum computing systems, including physical qubit modeling or control and readout modeling (preferred).
• Master’s Degree in Physics, Engineering, or related field AND 6+ years.