Senior Applied Scientist - Computer Vision for Quantum

Overview
Join Microsoft Quantum to help build the foundation for scalable quantum computing by transforming experimental data into actionable engineering insight. You will work at the intersection of physics, software engineering, and cloud-scale data science, collaborating with scientists and engineers to accelerate quantum machine development. Your work will directly impact how we understand, evaluate, and improve quantum machines all the way up to utility scale.
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
We are seeking a Senior Applied Scientist, to design, build, and scale analytical pipelines and algorithms that translate complex experimental measurements into decision-ready insights. You will work hands-on with imaging and characterization data, developing robust, production-grade analysis workflows that enable engineering teams to evaluate devices, improve yield, and iterate quickly. This opportunity will allow you to deepen your expertise at the intersection of software engineering and experimental science, develop scalable data and machine learning systems, and directly influence next-generation computing technologies.
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.
Responsibilities
Develop and maintain scalable analysis pipelines and agentic workflows for experimental microscopy imaging and characterization data, enabling consistent and reliable interpretation of the data.
Design and implement algorithms for image analysis, registration, feature extraction, and quantitative metrics, ensuring robustness, correctness, and reproducibility in production environments.
Build and operationalize machine learning and AI models for feature extraction, classification, regression, or anomaly detection, ensuring interpretability, validation, and long-term reliability.
Partner with physicists, hardware engineers, materials scientists, and data engineering teams to translate experimental data into actionable insights that improve product quality and yield.
Design and maintain clear, interpretable data models and datasets, including handling of missing, invalid, and unprocessed data states to ensure reproducibility.
Own the quality, reliability, and documentation of analytical workflows, including debugging, testing, performance tuning, and continuous improvement of production systems.
Embody our culture and values.
Qualifications
Required Qualifications
Master’s or Doctorate degree in Computer Science, Physics, Electrical Engineering, Applied Mathematics, Statistics, Data Science, or a related field OR equivalent experience
Programming experience in Python, including scientific computing and development of production-quality code (testing, packaging, version control, and code review).
Experience with image processing, computer vision, or imaging-based analysis workflows.
Demonstrated expertise in statistical analysis and uncertainty estimation in measurement or experimental systems.
Additional or Preferred Qualifications:
Experience developing, training, validating, and deploying machine learning models for experimental or production data.
Experience building and maintaining data pipelines in modern distributed or analytics environments (e.g., Spark, Databricks, Delta Lake, or equivalent).
Familiarity with nanofabrication processes and associated metrology techniques.
Experience working in shared, long-lived analytical or production codebases.
Experience collaborating with experimental, hardware, or scientific teams and reasoning about physical system constraints.
Other Requirements
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.
Ability to leverage AI tools to drive innovation and efficiency (e.g., performance modeling and analysis, research gathering, day to day task automation).
Ability to work in an “AI-first” environment using modern AI tools to accelerate discovery through hardware development
#Quantum #QuantumCareers #MDQCareers
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:
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.