Applied Scientist, Materials Characterization and Simulations, Amazon Center for Quantum Computing
Core
Investigate how material defects affect qubit performance in superconducting quantum processors by combining materials characterization and numerical simulations.
Role type
Applied Scientist (Materials Characterization and Simulations)
Builds
Actionable process improvements and design recommendations for superconducting quantum hardware
Domain
Quantum Computing / Materials Science / Superconductivity
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work
Required skills
materials characterization techniques, computational modeling of disordered systems, expertise in superconductivity theory, thin-film deposition knowledge, semiconductor fabrication process familiarity
Preferred skills
cross-team collaboration, scientific programming environment proficiency, translating research into actionable recommendations
Technologies
multi-technique characterization workflows, computational tools for disordered structures simulations
Responsibilities
Implement multi-technique characterization workflows for thin films and interfaces, provide input on the design of materials with targeted properties, develop computational tools for simulations of disordered structures, provide characterization support for the Fabrication team, coordinate with cross-functional teams to translate materials insights into actionable process improvements, publish results in scientific journals
Seniority
Senior, hands-on IC