Quantum Engineer - Artificial Intelligence and Devices

Microsoft•Redmond, WA

17d•$119,800 - $261,000

About The Position

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. The Quantum Engineer – Artificial Intelligence and Devices will develop scalable automation, artificial intelligence, machine-learning, and data-analysis solutions for quantum-device research. This role requires strong engineering and analytical skills, experience applying modern artificial intelligence methods to complex scientific or engineering data, and an interest in collaborating with quantum researchers. Experience in mesoscopic or topological physics is valuable but not required. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. 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.

Requirements

Doctorate in Physics, Engineering, or related field AND 1+ year(s) experience in industry or in a research and development environment, could include completion of a post doctoral research position OR Master's Degree in Physics, Engineering, or related field AND 4+ years experience in industry or in a research and development environment OR Bachelor's Degree in Physics, Engineering, or related field AND 6+ years experience in industry or in a research and development environment OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
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 design and build AI agents/copilots that assist with experiment setup, log triage, measurement report generation, protocol templating, and knowledge retrieval (e.g. instrument manuals, design docs)

Nice To Haves

1+ year of experience with mesoscopic condensed-matter or topological physics, including exposure to quantum devices, transport, or cryogenic experiments.
1+ year of experience contributing to open-source projects, deployed technical solutions, or published research.
Advanced degree (PhD or Master’s) in Computer Science, Electrical Engineering, Physics, or a related field.
Hands-on experience with modern AI methods, including deep learning, foundation or generative models, probabilistic methods, and AI-enabled scientific workflows.
Strong programming skills in Python, C++, or similar languages.
Demonstrated initiative, intellectual curiosity, and ability to collaborate across physics, experimental, software, and AI disciplines
Excellent problem-solving, communication, and documentation skills.

Responsibilities

Develop and improve automation pipelines for quantum-device data analysis and experiments.
Develop and apply modern artificial intelligence (AI) and machine-learning methods to quantum-device characterization, tuning, and analysis of complex experimental data.
Partner with researchers and engineers to integrate machine learning models into simulation and control environments.
Contribute to scalable and reproducible experimental analysis workflows, taking increasing ownership as projects mature.
Document and present technical solutions to internal and external stakeholders.
Embody our Culture and Values.