3 дня назад
Senior Quantum Software Engineer - Bring-up Software Infrastructure
715 600 - 1 201 100DKK
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Описание вакансии
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TL;DR
Senior Quantum Software Engineer - Bring-up Software Infrastructure (Quantum Computing): Building Python infrastructure for scalable qubit bring-up, calibration, tuning, and measurement workflows with an accent on resource-aware concurrency, scheduling, and traceable scientific data pipelines. Focus on designing reliable execution engines, debugging deadlocks and timing issues, and delivering maintainable software for quantum machine and laboratory operations.
Location: Denmark, Copenhagen, Kongens Lyngby; 3 days per week in-office
Salary: DKK 715,600–1,201,100 per year
Company
Microsoft Quantum develops scalable quantum computing platforms at the intersection of high-performance computing, artificial intelligence, and quantum information technology.
What you will do
- Build Python infrastructure for scalable qubit bring-up, calibration, tuning, and high-fidelity measurement routines.
- Design schedulers, resource models, concurrency and parallelism primitives, and reusable workflow components.
- Translate experimental requirements and user stories into software designs aligned with the broader bring-up architecture.
- Ensure measurement data quality through metadata consistency, validation, versioning, provenance, and reproducible analysis pipelines.
- Deliver features end-to-end, including implementation, testing, CI/CD, packaging, documentation, operationalization, and user-feedback iteration.
- Troubleshoot execution flows, scheduling conflicts, deadlocks, timing issues, and reliability problems across software boundaries.
Requirements
- Master’s degree in computer science, software engineering, physics, electrical engineering, or a related field with software industry experience; alternatively, a bachelor’s degree with solid experience or equivalent experience.
- Experience implementing highly concurrent systems, scalable execution engines, task scheduling systems, workflow orchestration frameworks, or low-latency distributed systems.
- Strong Python engineering skills, including maintainable and testable code, the standard library, scientific Python tools such as NumPy, SciPy, pandas, or xarray, and typed data modeling such as pydantic.
- Experience designing data and metadata schemas, provenance, traceability, and discoverability for workflow or scientific data pipelines.
- Experience with shared codebases, design discussions, code reviews, feature ownership, CI/CD, packaging, and dependency management.
- Ability to meet Microsoft, customer, and government security screening requirements, including citizenship or protected-status verification for access to export-controlled information.
Nice to have
- Doctorate or advanced software industry experience in a related technical field.
- Experience with qubit testing, characterization, calibration, bring-up routines, laboratory instrumentation, or measurement workflows.
- Experience with scientific data analysis, statistical methods, optimization, fitting, uncertainty quantification, experiment abstractions, or configuration systems.
- Experience improving reliability for hardware-interfacing code through testing, simulation, or instrument mocking.
- Familiarity with observability, telemetry, structured logging, time-series data, Kusto, or Azure Data Explorer.
Culture & Benefits
- Collaborate with quantum device characterization experts, experimental and theoretical physicists, and software teams across multiple quantum laboratories.
- Work in a fast-paced research and development environment focused on communication, documentation, and maintainable engineering practices.
- Contribute to Microsoft’s values of respect, integrity, accountability, inclusion, innovation, and growth mindset.
- The role may include benefits and additional compensation.
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