Quantum Calibration Software Engineer

Amazon; Seattle, Northern (WA, KY); Hybrid; USD 172,000 - 222,000; Full time

Job summary

Amazon is hiring a Research Software Engineer for the MQS Center for Quantum Computing in San Francisco, CA. You will translate scientific requirements into software tools, dashboards, and pipelines that help calibrate and operate quantum devices, working closely with experimental physicists.

The role emphasizes ownership, collaboration with scientists, and building scalable workflows, with a base in cloud infrastructure and mentoring teammates to contribute to the codebase.

Qualifications

• Experience programming in Java, C++, Python or related language.
• PhD or 6+ years of applied research experience.
• Experience working with scientists in a research environment.
• 1+ years of experience with calibration for experimental quantum computing.

Responsibilities

• Architect extensible & intuitive frameworks for running quantum computing experiments and analyzing data.
• Leverage the latest techniques in quantum calibration to enable scaling to larger devices.
• Optimize the performance of experiment & analysis tools to enable faster experiment throughput.
• Develop dashboards that allow experimentalists to inspect and control the state of quantum device calibration.
• Deploy and maintain cloud infrastructure that supports increasingly-complex science workflows.
• Empower scientists to actively contribute to the codebase through mentorship and documentation.

Skills

Java

C++

Python

Calibration experience

Education

PhD or 6+ years of applied research experience

Tools

AWS tools

SQL databases

GraphQL

React

Job description

Amazon is hiring a Research Software Engineer for the MQS Center for Quantum Computing in San Francisco, CA. You will translate scientific requirements into software tools, dashboards, and pipelines that help calibrate and operate quantum devices, working closely with experimental physicists.

The role emphasizes ownership, collaboration with scientists, and building scalable workflows, with a base in cloud infrastructure and mentoring teammates to contribute to the codebase.