Padmi
Microsoft logo
Microsoft

cloud computing (Azure) · AI and machine learning (Copilot, CoreAI)

Principal Quantum Materials Engineer

United States · OnsitePosted 1 month ago
HardwareStaff+Full TimeH-1B track record
Apply at Microsoft

Opens the source posting on apply.careers.microsoft.com

Source description

About the role

View original

Advanced Heterostructure Growth: Define, implement, and refine MBE growth protocols for complex superconductor-semiconductor heterostructures; Achieve precise control over interfaces, composition, strain, and defect density that directly impact topological qubit performance; Drive materials improvements such as enhanced spin‑orbit coupling, reduced disorder, and reproducible interface quality. Materials-Device Feedback & Experimentation: Design and execute principled, data driven experiments that couple growth conditions to structure, materials properties, and device outcomes; Own the growth → structure → properties → device feedback loop, ensuring materials advances translate into measurable qubit improvements; Provide technical judgment on growth tradeoffs that influence fabrication flows and process integration decisions. Tooling & Diagnostics Leadership: Design, build, upgrade, and maintain UHV MBE systems and in‑situ diagnostics (e.g., RHEED, spectroscopy); Develop or integrate new diagnostics and tool capabilities to enable next‑generation materials performance; Cross Functional Technical Leadership: Collaborate closely with nanofabrication, characterization, theory, and device teams to enable coherent, end-to-end process development; Communicate complex materials insights clearly across disciplines and help set technical direction where materials are the limiting factor. AI Accelerated Materials Development: Operate effectively in an AI‑first R&D environment, using modern AI tools to accelerate discovery and optimization; Design or leverage AI agents/copilots to assist with experiment planning, log analysis, protocol templating, data interpretation, and knowledge retrieval. Other Doctorate in Physics, Engineering, or related field AND 3+ years experience in industry or in a research and development environment As stated in the job posting, this position requires verification of citizenship or other protected status to meet legal requirements of the role. If the role requires US citizenship, as indicated in the job description, a valid US passport must be provided to verify your citizenship. If the role requires US Person status, as indicated in the job description, US citizens must provide a valid US passport for verification while lawful permanent residents, refugees, and asylees may complete this verification using green cards or other status documents, as applicable. These requirements include, but are not limited to the following specialized security screenings: 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. PhD in Physics, Materials Science, Materials Engineering, or a related field AND 2+ years of experience in industry or advanced R&D Experience with semiconductor-superconductor hybrid materials, III‑V semiconductors, or related quantum‑relevant materials systems.

More at Microsoft

Related open roles

View all roles