Principal Quantum Engineer Job at Microsoft Corporation (Copenhagen)

Principal Quantum Engineer

Microsoft Corporation

Location:
Denmark , Copenhagen

Category:
Research and Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Microsoft Quantum has a talented and diverse international team working to create the world’s first scalable quantum computing system. Our full-stack approach includes innovations across physics, materials, devices, control systems, and cloud services. This work aims to fundamentally transform computing to help solve humanity’s currently unsolvable problems. Our Denmark laboratory is seeking a Principal Quantum Engineer to accelerate the development of quantum devices by extracting actionable insights from high-dimensional experimental data and by building automated, AI driven analysis pipelines. In this role, you will collaborate closely with device physicists, materials researchers, measurement engineers, and software developers to drive data-informed decision making across the hardware development lifecycle.

Job Responsibility:

Analyze raw electrical characterization data from quantum devices to extract performance metrics aligned with materials, device, and qubit development goals
Aggregate metrics across experiments, device generations, and material batches to identify trends, correlations, anomalies, and optimization opportunities
Design, implement, and maintain automated data acquisition and processing pipelines where extracted metrics feed back into algorithmic or AI-driven agents to close the experimentation loop
Develop, test, and deploy machine learning or AI models that enhance device screening, anomaly detection, experiment optimization, or predictive analysis
Collaborate with software engineering teams to integrate analysis workflows into robust, scalable systems using modern development, testing, and version control practices
Communicate insights, results, and recommendations clearly to multidisciplinary audiences, enabling datadriven decisions across device, measurement, and materials teams
Contribute to best practices in documentation, data quality, reproducibility, and experiment traceability
Demonstrate Microsoft values, including a growth mindset, inclusive collaboration, and high-quality engineering excellence
Model and maintain safety and security practices, compliance with policies, and appropriate escalation of issues
Embody our Culture and Values

Requirements:

Bachelor's Degree in Physics, Engineering, or related field AND experience in industry or in a research and development environment
OR Master's Degree in Physics, Engineering, or related field AND experience in industry or in a research and development environment
OR Doctorate in Physics, Engineering, or related field AND experience in industry or in a research and development environment
OR equivalent experience
Experience with data analysis and programming in a high-level language (eg: python, matlab)
Experience applying machine learning and/or AI techniques to data acquisition, analysis, experiment optimization, or scientific workflows
Basic understanding of git and version-controlled software development practices
Demonstrated ability to work effectively in cross-functional, collaborative technical teams
Strong communication skills, including the ability to translate complex data into actionable insights
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
This role will require access to information that is controlled for export under 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
To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport

Nice to have:

Experience working with electrical measurements, semiconductor/quantum devices, or scientific instrumentation
Experience building automated, production-quality data pipelines or analysis systems
Experience deploying ML/AI models in scientific or engineering environments
Ability to synthesize complex datasets and present insights that guide experimental strategy
Strong problem solving capabilities and a track record of driving clarity in ambiguous R&D settings
Self-motivation, ownership mindset, and ability to deliver results in a dynamic and rapidly evolving environment
Familiarity with core concepts in quantum physics

Additional Information:

Job Posted:
February 23, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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