Principal Quantum Systems Modeling Engineer

Technology, Data & Digital · Software & Web Development · Software Engineering

In short

Microsoft Quantum is seeking a Principal Quantum Systems Modeling Engineer to define and lead performance modeling for its topological quantum computing platform. This role involves connecting physical qubit behavior to workloads, guiding architecture, and influencing technical direction across multidisciplinary teams, leveraging AI tools for productivity and analysis.

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.

Requirements

Doctorate in Physics, Engineering, or related field AND 3+ years experience in industry or in a research and development environment; OR Master’s Degree in Physics, Engineering, or related field AND 6+ years experience in industry or in a research and development environment; OR Bachelor’s Degree in Physics, Engineering, or related field AND 8+ years experience in industry or in a research and development environment; OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements.
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Citizenship & Citizenship Verification: This role will require access to information that is controlled for export under export control regulations, potentially under the U.S. International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR), the EU Dual Use Regulation, and/or other export control regulations. As a condition of employment, the successful candidate will be required to provide either proof of their country of citizenship or proof of their U.S. permanent residency or other protected status (e.g., under 8 U.S.C. § 1324b(a)(3)) for assessment of eligibility to access the export-controlled information. To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport. Lawful permanent residents, refugees, and asylees may verify status using other documents, where applicable.
Ability to use AI tools to improve engineering productivity, including performance analysis, research synthesis, and routine workflow automation.
Ability to work effectively in an AI-first environment by incorporating modern AI tools into day-to-day hardware development and decision-making.

Desired Qualifications

Doctorate in Physics, Engineering, or related field AND 5+ years experience in industry or in a research and development environment; OR Master's Degree in Physics, Engineering, or related field AND 8+ years experience in industry or in a research and development environment; OR Bachelor's Degree in Physics, Engineering, or related field AND 12+ years experience in industry or in a research and development environment; OR equivalent experience.
Demonstrated familiarity with quantum computing systems, including physical qubit modeling or control & readout modeling
Experience developing, integrating, or validating quantitative models for complex systems.
Experience designing modular, composable modeling frameworks with well-defined interfaces, provenance, and reproducible execution.
Demonstrated ability to integrate work across multidisciplinary teams and clearly communicate model assumptions, limitations, uncertainty, and recommendations.
Experience applying modern AI tools or agentic workflows to accelerate scientific modeling while maintaining validation and traceability.

Benefits

The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

#Quantum#QuantumCareers#MDQCareers

About Microsoft

Empowering every person and organization on the planet to achieve more

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting…

See all open jobs at Microsoft Read more about Microsoft Website