Senior Software Engineer (Measurement and Bring-up)

Microsoft Quantum has assembled a talented and diverse international team to create the world’s first scalable quantum computing system. The research effort includes a diverse staff of theoretical and experimental physicists, hardware designers and software engineers around the world collaborating in a very fast-paced environment, where good communication and good documentation are key to the success of the program. 

This role sits on the software team building the control, measurement, and bring-up stack for Microsoft’s topological qubit chips and the broader quantum machine we are engineering. As a Senior Software Engineer (Measurement and Bring-up), you will partner closely with the Measurement team to implement the test, characterization, calibration, and tuning routines in software—shaping how the software is structured and how the instruments rack is orchestrated to deliver robust, fast, and correct execution in the lab. 

This is a unique opportunity to contribute to Microsoft’s Quantum Program, dedicated to building a scalable quantum computer to tackle humanity’s most complex challenges. You’ll help make the quantum machine operable as it scales by turning characterization and bring-up needs into dependable software—connecting sophisticated instrumentation to clear, repeatable workflows that accelerate learning cycles in the lab, as well as into robust qubit chip bring-up software for the quantum machine. 

At Microsoft Quantum, we aim to empower science and scientists to solve the world’s biggest problems by realizing advanced computing platforms at the intersection of high-performance computing, artificial intelligence, and quantum information technology. Microsoft Quantum will change the world of computing and help solve some of humankind’s currently unsolvable problems. For more information about our team, visit https://www.microsoft.com/en-us/quantum. 

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. 

Role Summary 

You will work closely with quantum device characterization experts, experimental physicists, and the teams building instrument racks and control infrastructure across multiple quantum labs. You will collaborate with the Measurement team to translate bring-up and tuning routines into high-quality software: aligning on APIs and abstractions, mapping requirements to the larger bring-up stack, and ensuring the instruments are used effectively to achieve repeatable, trustworthy results. You will deliver features end-to-end—implementation, testing, documentation, operationalization, and iteration based on user feedback—making pragmatic trade-offs under time pressure while maintaining code quality and long-term maintainability. 

• Work with the Measurement team to implement and maintain measurement, characterization, and bring-up routines for qubit devices—turning experimental intent into robust, repeatable software workflows used in the lab and in the quantum machine. 

• Develop Python software that controls and coordinates a complex instruments rack (timing, triggering, waveform generation, acquisition, and metadata capture) to execute high-fidelity experiments reliably and safely. 

• Partner with scientists and engineers to translate user stories into requirements; propose designs that fit the larger bring-up architecture and iterate based on feedback from day-to-day lab usage. 

• Build reusable building blocks (drivers/wrappers, experiment templates, calibration primitives, analysis utilities, configuration/schema models) that enable rapid development of new routines. 

• Ensure measurement data is high quality and traceable: consistent metadata, validation, versioning, and reproducible analysis pipelines. 

• Contribute to software engineering best practices: code reviews, testing, CI/CD, packaging, documentation, and on-call/triage support as needed in a fast-moving environment. 

• Troubleshoot end-to-end issues across software and hardware boundaries (instrument communications, timing, signal integrity symptoms reflected in