Quantum Data Performance Engineer (Remote, Technology)

Job summary

This role involves working at the intersection of physics and engineering to support the development and optimization of a topological quantum computer. The engineer will analyze subsystem performance, identify risks, and inform strategic decisions through data-driven insights.

Qualifications

• Master's Degree in Physics, Engineering, or a related field, or a Bachelor's Degree with relevant industry experience.
• Proficiency in large-scale data analysis, statistical modeling, and visualization tools such as Python, R, MATLAB, or PowerBI.
• Experience in building and maintaining automated data pipelines and cloud-based monitoring solutions.

Responsibilities

• Collaborate with technical teams to understand subsystem requirements and operational characteristics.
• Design and implement data pipelines for monitoring subsystem performance metrics.
• Conduct statistical analysis to identify trends, risks, and improvement areas.
• Document and communicate performance analysis results to stakeholders.
• Work with software engineering teams to enhance data analysis infrastructure.
• Identify new metrics and collaborate on developing dashboards for subsystem health.
• Support root-cause analysis and troubleshooting through data insights.

Skills

• Strong analytical skills with a focus on data-driven decision making.
• Ability to leverage AI tools for performance modeling and task automation.
• Collaborative mindset for interdisciplinary teamwork.

Education

• Advanced degree in Physics, Engineering, or a related field preferred.

Tools

• Familiarity with AI tools for data analysis and visualization, as well as experience with cloud-based solutions.