Overview
The Microsoft Quantum team is redefining what's possible with technology — creating unprecedented possibilities to solve humanity’s most complex challenges. Our team combines hardware innovation with software technologies and Azure services to build scalable quantum technologies in an industry-leading quantum ecosystem.
At Microsoft Quantum, we aim to empower science and scientists to solve the world’s biggest problems by realizing advanced computing platforms at the intersection of high-performance computing, artificial intelligence AI, and quantum information technology. Microsoft Quantum will change the world of computing and help solve some of humankind’s currently unsolvable problems. For more information about our team, visit https://www.microsoft.com/en-us/quantum.
We are seeking a Principal Quantum Systems Modeling Engineer to define and lead the integrated performance-modeling capability for our next-generation topological quantum computing platform. You will connect physical qubit behavior, control and readout performance, quantum error correction, and representative workloads to predict system-level outcomes, guide architecture, set technical direction across multidisciplinary teams, establish rigorous model interfaces and validation practices, and turn incomplete evidence into clear, actionable recommendations.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
- 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.
Qualifications
Required/Minimum Qualifications
- Doctorate in Physics, Engineering, or related field AND 3+ years experience in indust
