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Quantum Data Performance Engineer - Systems Integration

Denmark, Kongens Lyngby · Job Posted May 14, 2026
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Job Description

Microsoft Quantum has assembled a talented and diverse international team to create the world’s first scalable quantum computing system. Our full-stack approach involves exciting innovations from physics on the quantum plane to providing global quantum services.  With new developments happening at every part of the stack, it is more important than ever to characterize and validate how the individual components come together to form an integrated system. This role offers the opportunity to work at the forefront of physics and engineering, collaborating with a broad range of specialists from readout, control, software, and many other disciplines. Our Systems Integration team is seeking a Quantum Data Performance Engineer with a passion for interdisciplinary collaboration to help drive the development, validation, and optimization of the world’s first topological quantum computer by closely monitoring and analyzing the performance of each subsystem, identifying key risks, and informing strategic decisions for the program.  The Data Performance Engineer will be responsible for developing and maintaining a comprehensive view of the performance, reliability, and reproducibility of each subsystem across our quantum computing fleet. This includes designing, implementing, and optimizing data pipelines to continuously monitor the most critical metrics, as well as performing in-depth statistical analysis to pinpoint trends, anomalies, and emerging risks. Working closely across all pillars, the engineer will synthesize system-level insights and communicate findings to inform technical strategy and prioritize improvements. The ideal candidate will bring a strong background in physics, electrical engineering, or a related discipline, a  deep passion for data analytics, and a collaborative mindset for tackling complex interdisciplinary challenges. 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.

Job Responsibility

  • Collaborating across technical pillars to understand the requirements and operational characteristics of different subsystems within the quantum computer
  • Designing, implementing, and refining data pipelines for historical monitoring of key subsystem performance metrics
  • Conducting advanced statistical analysis and data mining to identify performance trends, top risks, and areas for improvement across subsystems
  • Documenting and communicating the results of performance tracking and analysis to stakeholders, providing actionable insights to inform system strategy and risk mitigation
  • Partnering with software engineering teams to develop, maintain, and enhance code infrastructure supporting data analysis and reporting
  • Proactively identifying new metrics and risk indicators to be monitored, and collaborating to stand up new data pipelines and dashboards for visibility into subsystem health and performance
  • Supporting cross-functional teams in root-cause analysis and troubleshooting by providing deep dives into subsystem data and performance history

Requirements

  • Master's Degree in Physics, Engineering, or related field. OR Bachelor's Degree in Physics, Engineering, or related field AND experience in industry or in a research and development environment OR equivalent experience.
  • Experience with large-scale data analysis, statistical modeling, and visualization tools (e.g., Python, R, MATLAB, PowerBI).
  • Experience building and maintaining automated data pipelines, databases, or cloud-based monitoring solutions.
  • 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 leverage AI tools to drive innovation and efficiency (e.g., performance modeling and analysis, research gathering, day to day task automation).
  • Ability to work in an “AI-first” environment using modern AI tools to accelerate discovery through hardware development.
  • Doctorate in Physics, Engineering, or related field OR Master's Degree in Physics, Engineering, or related field AND proven experience in industry or in a research and development environment OR Bachelor's Degree in Physics, Engineering, or related field AND demonstrated experience in industry or in a research and development environment OR equivalent experience.
  • Leveraging artificial intelligence tools and techniques to enhance data tracking, analysis, and visualization.
  • Strong communication skills and a track record of translating technical data into actionable recommendations for multi-disciplinary teams.
  • Demonstrated ability to independently identify and address performance risks in complex engineering systems.
  • Experience with superconductor/semiconductor physics, RF measurement techniques, and/or cryogenic systems.
  • Ability to be flexible and adapt to new situations in a rapidly changing research environment.
  • Experience in design and analysis of experiments.
  • Experience with statistical process control methodologies.

Nice to have

  • Doctorate in Physics, Engineering, or related field OR Master's Degree in Physics, Engineering, or related field AND proven experience in industry or in a research and development environment OR Bachelor's Degree in Physics, Engineering, or related field AND demonstrated experience in industry or in a research and development environment OR equivalent experience.
  • Leveraging artificial intelligence tools and techniques to enhance data tracking, analysis, and visualization.
  • Strong communication skills and a track record of translating technical data into actionable recommendations for multi-disciplinary teams.
  • Demonstrated ability to independently identify and address performance risks in complex engineering systems.
  • Experience with superconductor/semiconductor physics, RF measurement techniques, and/or cryogenic systems.
  • Ability to be flexible and adapt to new situations in a rapidly changing research environment.
  • Experience in design and analysis of experiments.
  • Experience with statistical process control methodologies.

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