Microsoft Quantum has assembled a talented and diverse international team to build the world’s first scalable quantum computer. The research and development 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 Quantum Software Engineer - Bring-up Software Infrastructure, you will partner closely with the Measurement team to implement complex scalable bring-up, calibration, and tuning routines in software—shaping how the software infrastructure is structured to deliver robust, fast, and correct execution in the quantum machine and in the lab contexts.
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.
You will work closely with quantum device characterization experts, experimental and theoretical physicists, and diverse software teams who work across multiple quantum labs on scalable bring-up for the quantum machine. You will collaborate with the Measurement team to translate scalable bring-up and tuning routines into high-quality software: aligning on APIs and abstractions, mapping requirements to the larger bring-up stack, implementing scheduling with concurrency and parallelism while taking into account measurement and device resources as well as overlap bring-up latencies and performance. 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.
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—delivering robust qubit chip bring-up software for the quantum machine as well as repeatable workflows that accelerate learning cycles in the lab.
Responsibilities
Work with the Measurement team to implement software infrastructure for scalable qubit bring-up routines—turning experimental intent into scalable, efficient, robust, repeatable implementations that run reliably in the quantum machine.
Develop Python software that controls and coordinates a complex bring-up, calibration, tuning routines and their steps to execute high-fidelity measurements on qubit chips 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 and contribute to infrastructural software components (e.g. scheduler, resource model, concurrency and parallelism primitives), and reusable building-blocks/steps of the bring-up routines 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 boundaries (e.g. bad weather scenarios, corner cases, scheduling conflicts, dead-locks) and make clear trade-offs between rapid development and long-term robustness.
- Embody our culture and values.
Qualifications
Required Qualifications
Master's Degree in Computer Science, Software Engineering, Physics, Electrical Engineering, or related field AND software industry experience
OR Bachelor's Degree in Computer Science, Software Engineering, Physics, Electrical Engineering, or related field AND solid software industry experience
OR equivalent experience.
Experience implementing highly concurrent systems, coordinating large numbers of independent and dependent operations while respecting resource e.g., resource-aware concurrency, scalable execution engines, task scheduling systems, workflow orchestration frameworks, low-latency distributed systems; using Python asyncio, Trio, .NET Tasks, Go goroutines, Rust async, or equivalent technologies; experience with debugging execution flows, timing/triggering, dead-locks, starvation, and reliability issues.
Proven Python software engineering skills: writing maintainable, testable code; solid grasp of language idioms and the standard library; experience with the scientific Python stack (e.g., NumPy, SciPy, pandas, xarray) and typed/data-modelling approaches (e.g., pydantic).
- Experience designing data pipelines for workflow orchestration, e.g. schemas for data and metadata schemas, provenance, traceability, discoverability.
Collaborative engineering experience working with other software developers on shared codebases: design discussions, code reviews, feature ownership, and incorporating feedback from both peers and end users.
Customer obsession: demonstrated ability to distil requirements from user stories, fit requests into a larger architecture, deliver iteratively, and communicate trade-offs clearly.
Familiarity with modern development operations and tooling such as CI&CD on platforms like GitHub and Azure DevOps, and Python tooling (pip/uv, ruff, pre-commit, packaging and dependency management).
Demonstrated analytical and problem-solving skills, including comfort working under time pressure and making pragmatic decisions balancing speed, quality, and robustness.
Preferred Qualifications
Doctorate in Computer Science, Software Engineering, Physics, Electrical Engineering, or related field AND software industry experience
OR Master's Degree in a related field AND solid software industry experience
OR Bachelor's Degree in a related field AND in-depth software industry experience
Prior experience building software for qubit (or closely related) test, characterization, calibration, or bring-up routines; hands-on work with lab instrumentation and measurement workflows is preferred.
Experience designing experiment abstractions, configuration systems, and data/metadata schemas for traceable measurement at scale.
Experience with scientific data analysis pipelines, statistical methods, optimization/fitting, and uncertainty quantification applied to device characterization.
Experience improving engineering quality in research environments (test strategies for hardware-interfacing code, simulation/mocking of instruments, reliability engineering).
Familiarity with observability/telemetry and data platforms used for debugging large experimental systems (structured logging, time-series data, Kusto/Azure Data Explorer, or equivalent).
Other requirements
- Ability to leverage AI tools to drive innovation and efficiency (e.g., research gathering, day to day task automation).
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.
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Quantum Software Engineering IC4 - The typical base pay range for this role across Denmark is kr 715,600.00 - kr 1,201,100.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/denmark-corporate-pay.html
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Master’s degree in Computer Science, Software Engineering, Physics, Electrical Engineering, or a related field and software industry experience
- Bachelor’s degree in Computer Science, Software Engineering, Physics, Electrical Engineering, or a related field and solid software industry experience
- Equivalent combination of education and experience
- Experience implementing highly concurrent systems, resource-aware concurrency, scalable execution engines, task scheduling systems, workflow orchestration frameworks, or low-latency distributed systems
- Experience with Python asyncio, Trio, .NET Tasks, Go goroutines, Rust async, or equivalent technologies
- Experience debugging execution flows, timing and triggering, deadlocks, starvation, and reliability issues
- Proven Python software engineering skills, including maintainable and testable code, language idioms, and the standard library
- Experience with the scientific Python stack, such as NumPy, SciPy, pandas, or xarray
- Experience with typed or data-modeling approaches such as pydantic
- Experience designing data pipelines for workflow orchestration, including data schemas, metadata schemas, provenance, traceability, and discoverability
- Collaborative engineering experience with shared codebases, design discussions, code reviews, feature ownership, and incorporating feedback
- Ability to distill requirements from user stories, fit requests into a larger architecture, deliver iteratively, and communicate trade-offs clearly
- Familiarity with CI/CD platforms such as GitHub and Azure DevOps
- Familiarity with Python tooling such as pip or uv, ruff, pre-commit, packaging, and dependency management
- Demonstrated analytical and problem-solving skills, including pragmatic decision-making under time pressure
- Ability to pass Microsoft, customer, and/or government security screening requirements
- Doctorate in Computer Science, Software Engineering, Physics, Electrical Engineering, or a related field and software industry experience
- Master’s degree in a related field and solid software industry experience
- Bachelor’s degree in a related field and in-depth software industry experience
- Experience building software for qubit or related test, characterization, calibration, or bring-up routines
- Hands-on experience with laboratory instrumentation and measurement workflows
- Experience designing experiment abstractions, configuration systems, and traceable data and metadata schemas at scale
- Experience with scientific data analysis pipelines, statistical methods, optimization, fitting, and uncertainty quantification for device characterization
- Experience improving engineering quality in research environments, including hardware-interfacing test strategies, instrument simulation or mocking, and reliability engineering
- Familiarity with observability, telemetry, structured logging, time-series data, Kusto, Azure Data Explorer, or equivalent platforms
- Ability to leverage AI tools for innovation and efficiency
- Citizenship or permanent residency/protected status verification for access to export-controlled information
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
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