Quantum Fab R&D Scientist (Superconducting Qubits)

Amazon Web Services (AWS); Pasadena (CA); On-site; USD 126,000 - 170,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon Development Center U.S., Inc. in Pasadena seeks a Fabrication R&D Scientist to advance semiconductor process development for quantum computing hardware. You will work inside and outside the cleanroom to develop next-generation superconducting quantum processors and packaging solutions.

The role emphasizes experimental planning, data analysis, cross-functional collaboration, and continuous optimization in a dynamic team environment, with strong emphasis on safety and precision.

Qualifications

• Bachelor's degree or above in mechanical engineering, electrical engineering, material science, physics or equivalent.
• Experience in fabricating superconducting quantum circuit and/or packaging components.
• Effective at managing multiple tasks/projects and working independently or within a team environment with other engineers, scientists, and technicians who might have a wide range of technical skill levels.

Responsibilities

• Develop and optimize processes to fabricate high-coherence superconducting qubits and interconnects.
• Analyze inline metrology and electrical test data.
• Plan experiments, analyze data, and contribute to future innovations.
• Collaborate with project leads to improve processes and provide technical guidance to junior colleagues.

Skills

Python

Java

C++

Communication skills

Data analysis

Education

Bachelor's degree or above in mechanical engineering, electrical engineering, material science, physics or equivalent

Job description

Amazon Development Center U.S., Inc. in Pasadena seeks a Fabrication R&D Scientist to advance semiconductor process development for quantum computing hardware. You will work inside and outside the cleanroom to develop next-generation superconducting quantum processors and packaging solutions.

The role emphasizes experimental planning, data analysis, cross-functional collaboration, and continuous optimization in a dynamic team environment, with strong emphasis on safety and precision.