Quantum Data Performance Engineer - Systems Integration

Job Title

Quantum Data Performance Engineer - Systems Integration

Role Summary

The Systems Integration team seeks a Data Performance Engineer to develop, validate, and optimize data pipelines and analytics to monitor performance, reliability, and reproducibility across a fleet of quantum subsystems. The role works cross-functionally with physics, readout, control, and software teams to surface system-level insights and inform technical strategy.

This position involves designing monitoring pipelines, performing statistical analysis, and communicating findings to prioritize improvements in a research-driven hardware program focused on topological quantum computing.

Experience Level

Mid-level. Specific years of experience are not specified; the role expects demonstrated experience in large-scale data analysis, pipeline development, and collaboration in research or industry environments.

Responsibilities

Primary responsibilities include building and maintaining data infrastructure, analyzing subsystem performance, and supporting cross-functional troubleshooting.

• Collaborate with technical pillars to capture operational requirements and characteristics of subsystems.
• Design, implement, and refine automated data pipelines and historical monitoring for critical performance metrics.
• Perform advanced statistical analysis and data mining to identify trends, anomalies, top risks, and areas for improvement.
• Document and communicate analysis results and actionable recommendations to stakeholders.
• Partner with software teams to maintain code and infrastructure for analysis and reporting.
• Define new metrics and risk indicators; implement dashboards and visibility tools for subsystem health.
• Support root-cause analysis and troubleshooting by delivering deep dives into subsystem performance history.

Requirements

Core technical and operational requirements. Degree requirements are listed separately under Education Requirements.

Must-have:

• Experience with large-scale data analysis, statistical modeling, and visualization (examples: Python, R, MATLAB, Power BI).
• Experience building and maintaining automated data pipelines, databases, or cloud-based monitoring solutions.
• Ability to perform statistical process control, experiment design, and data-driven root-cause analysis.
• Experience partnering with software engineering teams to productionize analysis and reporting code.
• Ability to meet required security and export-control screening requirements for access to controlled information.
• Comfort using AI tools to accelerate analysis, modeling, and routine tasks.

Nice-to-have:

• Experience with superconductor or semiconductor physics, RF measurement techniques, and/or cryogenic systems.
• Experience applying AI/ML techniques to enhance monitoring, anomaly detection, or visualization workflows.
• Proven ability to translate technical data into actionable recommendations for multidisciplinary teams.

Education Requirements

Minimum: Master’s degree in Physics, Engineering, or a related field; OR a Bachelor’s degree in Physics, Engineering, or related field plus relevant industry or R&D experience; OR equivalent practical experience. Preferred: Doctorate in Physics, Engineering, or related field, or advanced degree with demonstrated industry/R&D experience.

About the Company

Company: Microsoft

Headquarters: Redmond, Washington, United States

Microsoft is a global technology company that develops and sells software, services, devices, and solutions. Known for its Windows operating system, Office suite, and Azure cloud platform, Microsoft aims to empower individuals and organizations around the world to achieve more. The company fosters a culture of innovation and inclusion, focusing on delivering trusted experiences to customers and partners globally.