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 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.
Other Requirements:
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
- 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.
Preferred 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.
#Quantum #QuantumCareers #MDQCareers
Quantum Engineering IC5 - 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
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Doctorate in Physics, Engineering, or a related field and 3+ years of industry or research and development experience
- Master's degree in Physics, Engineering, or a related field and 6+ years of industry or research and development experience
- Bachelor's degree in Physics, Engineering, or a related field and 8+ years of industry or research and development experience
- Equivalent experience may substitute for the stated education and experience combinations
- Ability to meet Microsoft, customer, and/or government security screening requirements
- Pass the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter
- Provide citizenship, permanent residency, or other protected-status documentation for export-control eligibility verification
- Ability to use AI tools for engineering productivity, performance analysis, research synthesis, and workflow automation
- Ability to work effectively in an AI-first hardware-development environment
- Doctorate in Physics, Engineering, or a related field and 5+ years of industry or research and development experience
- Master's degree in Physics, Engineering, or a related field and 8+ years of industry or research and development experience
- Bachelor's degree in Physics, Engineering, or a related field and 12+ years of industry or research and development experience
- Familiarity with quantum computing systems, physical qubit modeling, or control and readout modeling
- Experience developing, integrating, or validating quantitative models for complex systems
- Experience designing modular, composable modeling frameworks with defined interfaces, provenance, and reproducible execution
- Ability to integrate multidisciplinary work and communicate assumptions, limitations, uncertainty, and recommendations
- Experience applying modern AI tools or agentic workflows to scientific modeling with validation and traceability
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
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