Amazon Quantum Hardware Engineer Yield Improvement Fabrication AWS CQC 

United States, California, Pasadena 

805147342

Key job responsibilities
* Develop and monitor key defect drivers and paths toward improvements.
* Work across departments to define yield improvement strategies based on data driven analysis.
* Monitor in-line defectivity levels, resolving in-line yield issues, creating inspection recipes on defect-inspection tools and provide feedback to other engineers and management to improve the manufacturing process.
* Deep dive into inline, end of line and cryogenic device failures, lead root cause failure analysis through materials characterization and other techniques.
* Develop and use databases to extract critical information based on statistical data analysis of physical defects capture and electrical measurements on wafers.
* Utilize machine learning to enable better deeper dives into fabrication and related data.
A day in the life
The role is vital to the integration and fabrication of quantum computing devices. The candidate will improve monitors already in place and develop new ones to track physical and electrical defects in superconducting qubit process flows. The candidate will analyze and summarize yield data inline, end of line and cryogenic testing of production fabrication runs by staying close to the details of fabrication; and provide quick feedback to stakeholders. Standardized reports will be generated to provide insights into production data. Tools such as machine learning will be used to generate models for yield prediction. Position may require occasional weekend work.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be either a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be able to obtain a US export license. If you are unsure if you meet these requirements, please apply and Amazon will review your application for eligibility.

- PhD or Masters + 2 yrs experience, or equivalent, in Physics, Electrical Engineering, or Computer Science (can be currently enrolled, but must complete in 2025)
- Experience analyzing both experimental and observational data sets
- Experience with scientific coding/scripting languages (Python numpy, MATLAB) and SQL.

- 2+ years of industry experience
- Proficiency in MATLAB, Python or similar scientific coding/scripting
- Experience modeling physical systems either by physics-based or ML/AI based
- Experience building web based dashboards
- Knowledge of semiconductor processing in research and/ or industrial settings