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Senior Quantum Materials MBE Engineer

Job

Microsoft

West Lafayette, IN (In Person)

Full-Time

Posted 3 weeks ago (Updated 1 week ago) • Actively hiring

Expires 7/18/2026

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Job Description

Advanced Heterostructure Growth:
Develop, implement, and optimize MBE growth recipes for semiconductor-superconductor heterostructures; Execute experiments to control interfaces, composition, strain, and defect density; Improve materials quality through iterative refinement of growth conditions and process parameters
Materials-Device Feedback & Experimentation:
Design and execute data-driven experiments linking growth conditions to materials properties and device outcomes; Contribute to the growth → structure → properties → device feedback loop; Analyze and interpret experimental results to guide subsequent growth and process optimization
Tooling & Diagnostics:
Operate and maintain UHV MBE systems and in-situ diagnostics (e.g., RHEED, spectroscopy); Support upgrades and improvements to MBE tools and measurement capabilities; Ensure reliable operation and high data quality from characterization tools
Cross-Functional Collaboration:
Work closely with nanofabrication, characterization, theory, and device teams to align on process requirements; Communicate experimental results and materials insights clearly to diverse stakeholders; Support integration of materials advances into device fabrication flows
AI-Enabled Materials Development:
Apply modern AI/ML tools to improve experiment planning, analysis, and optimization: Contribute to automation frameworks for data analysis and reporting Other 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 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 related field AND 0-2+ years of experience in industry or advanced R D OR Master's degree AND 3-5+ years of relevant experience Hands-on experience with: Experience designing and executing controlled experiments and analyzing data Experience with semiconductor-superconductor hybrid materials or III-V semiconductors Experience improving materials quality, interface control, or reproducibility