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Amazon Web Services (AWS)

Sr. Research Scientist , Quantum Computing

Amazon Web Services (AWS), Pasadena, California, United States, 91122

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Overview

Sr. Research Scientist, Quantum Computing – The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire a Quantum Research Scientist in the Fabrication group. 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 a deep and broad knowledge of device fabrication techniques. Base pay range: $143,300.00/yr - $247,600.00/yr. Candidates with a track record of original scientific contributions will be preferred. We are looking for candidates with strong engineering principles, resourcefulness and a bias for action, superior problem solving, and excellent communication skills. Working effectively within a team environment is essential. As a research scientist you will be expected to work on new ideas and stay abreast of the field of experimental quantum computation.

Key responsibilities

Drive improvements in qubit performance by characterizing the impact of environmental and material noise on qubit dynamics. Design experiments to assess the role of specific noise sources, ensure the collection of statistically significant data through automation, analyze the results, and prepare clear summaries for the team. Collaborate with hardware engineers, material scientists, and circuit designers to implement changes which mitigate the impact of the most significant noise sources.

About the Team AWS values curiosity and connection. Our inclusive culture promotes inclusion, mentorship and career growth. We encourage applicants who may not meet every listed qualification to apply, and we support diverse experiences and paths.

Qualifications Basic Qualifications

Master's degree, or PhD and 5+ years of quantitative field research experience

Broad experience in fabrication and measurement techniques with ability to learn new topics as needed

5+ years of relevant experience working in a cleanroom environment

5+ years of hands-on experience with electron beam lithography; photolithography; wafer-level wet/dry etching techniques; wafer cleaning and lift-off techniques; thin film deposition techniques (e.g., PECVD, LPCVD, ALD, evaporation, sputtering, and furnace oxidation); semiconductor and thin film metrology techniques (e.g., AFM, SEM, XPS, EDX, profilometry, reflectometry, and ellipsometry)

Effective at managing multiple tasks/projects and working independently or within a team

Preferred Qualifications

Knowledge of R, MATLAB, Python or similar scripting language

Familiarity with superconducting quantum computing components, fabrication, and packaging techniques

8+ years of relevant industry experience working in a cleanroom environment

Hands-on experience with electroplating; wafer thinning; chemical mechanical polishing; wafer level and flip-chip packaging techniques; temporary and permanent wafer level bonding; 2.5/3D integration schemes

Experience in performing failure analysis and root cause investigation for process excursions

Working knowledge of statistical analysis and design of experiments using JMP or Minitab

Experience in yield monitoring, statistical process control, and demonstrating process capability

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit the accommodation page for more information.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. For more information, please visit the company benefits page.

Job ID: A3094957

Note: This position will remain posted until filled. Applicants should apply via our internal or external career site.

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