Applied Scientist: Quantum Materials & Process Development

Amazon; Pasadena (CA); On-site; USD 142,800 - 193,200; Full time

Job summary

Amazon’s AWS Center for Quantum Computing in Pasadena, CA seeks an Applied Scientist to lead materials integration and process development for superconducting quantum processors. You will work with physicists, materials scientists, and engineers to advance deposition, integration, and characterization.

The role emphasizes translating materials advances into scalable production, collaborating across teams, and publishing results when appropriate.

Qualifications

• PhD required in a related field (ME / EE / Materials Science / Physics) or equivalent.
• Expertise in thin-film deposition and process integration at 200 mm wafer scale or larger.
• Expertise in thin-film characterization.

Responsibilities

• Develop and optimize materials for superconducting quantum hardware, emphasizing thin‑film deposition processes and materials solutions that enable integration architectures for scaling qubit density.
• Establish process‑structure‑property relationships for production‑relevant films and interfaces, qualify new tools and process modules, and design integration schemes compatible with larger wafer formats.
• Coordinate with cross‑functional teams to translate materials advances into production, and publish results in scientific journals when appropriate.

Skills

Thin-film deposition

Process integration

Thin-film characterization

Education

PhD in Mechanical Engineering

PhD in Electrical Engineering

PhD in Materials Science

PhD in Physics

Tools

Scientific programming environment

Thin-film deposition tools

Materials characterization instruments

Job description

Amazon’s AWS Center for Quantum Computing in Pasadena, CA seeks an Applied Scientist to lead materials integration and process development for superconducting quantum processors. You will work with physicists, materials scientists, and engineers to advance deposition, integration, and characterization.

The role emphasizes translating materials advances into scalable production, collaborating across teams, and publishing results when appropriate.