Amazon Development Center U.S., Inc.
Research Science, Applied Science, Cloud Computing
AppliedScientist,MaterialsCharacterizationandSimulations
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist, Materials Characterization and Simulations at Amazon Development Center U.S., Inc.. Skills: Materials characterization, Computational modeling, Disordered solids, Quantum computing. Combine materials characterization. Combine numerical simulations”
Industry & Context.
Superior problem solving
What They're Looking For.
Must Have
PhD in mechanical engineering, PhD in electrical engineering, PhD in material science, PhD in physics, Expertise in materials characterization techniques, Experience with computational modeling of materials, Experience with computational modeling of disordered systems
Nice to Have
Experience delivering on projects, Proficient in scientific programming environment, Expertise in superconductivity theory, Expertise in sources of dissipation, Familiarity with thin-film deposition, Familiarity with surface preparation, Familiarity with semiconductor fabrication processes, Track record of translating materials research
What You'll Do.
Combine materials characterization
Combine numerical simulations
Investigate material defects
Implement multi-technique characterization workflows
Provide input on design
Develop computational tools
Simulate disordered structures
Provide characterization support
Investigate materials sources
Coordinate with cross-functional teams
Translate materials insights
Publish results in scientific journals
How You'll Work.
Team & Collaboration
Multi-disciplinary team; Cross-functional teams
Communication Scope
Communication skills
Full Job Description
The Amazon Center for Quantum Computing in Pasadena, CA, is looking to hire an Applied Scientist on the Materials team, focused on understanding and mitigating materials-driven loss mechanisms in superconducting quantum processors. You will join a multi-disciplinary team of theoretical and experimental physicists, materials scientists, and hardware and software engineers working at the forefront of quantum computing. You should have deep expertise in materials characterization and computational modeling of disordered solids, with the ability to connect atomic-scale insights to materials design. Candidates with a track record of original scientific contributions in experimental and computational studies of materials defects will be preferred. We are looking for candidates with strong scientific and engineering principles, resourcefulness and a bias for action, superior problem solving, and excellent communication skills. As an Applied Scientist at CQC, you will be expected to drive materials research from characterization through design recommendations and stay abreast of advances in materials science for superconducting quantum hardware. Key job responsibilities You will combine materials characterization and numerical simulations to investigate how material defects affect qubit performance. This includes implementing multi-technique characterization workflows for thin films and interfaces, providing input on the design of materials with targeted properties, and developing computational tools for simulations of disordered structures. You will provide characterization support for the Fabrication team, investigating materials sources of loss in production-relevant films and processes. You will coordinate with cross-functional teams to translate materials insights into actionable process improvements, and publish results in scientific journals when appropriate. Basic Qualifications: - PhD in mechanical engineering, electrical engineering, material science, physics or e
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