Quantum Research Scientist, Device Team at Amazon Pasadena, CA

Amazon

Pasadena (CA)

On-site

USD 113,000 - 195,200

Full time

14 days+

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Job summary

Amazon's AWS Center for Quantum Computing in Pasadena seeks a Quantum Research Scientist for the Test and Measurement group. You will join a multidisciplinary team of theorists and experimentalists, materials scientists, and hardware and software engineers advancing quantum hardware and control.

The role focuses on improving qubit performance by studying environmental noise, designing experiments, automating data collection, and collaborating with hardware designers to apply findings.

Qualifications

  • PhD in a quantitative field or MS with 1+ years of quantitative field research experience.
  • Experience applying scientific principles to business problems and products.
  • Experience with data analysis packages (R, SAS, Matlab, etc.).
  • Experience using SQL databases to manage and analyze large data sets.

Responsibilities

  • Drive improvements in qubit performance by characterizing environmental and material noise.
  • Design experiments to assess the role of specific noise sources.
  • Ensure the collection of statistically significant data through automation.
  • Analyze results and prepare clear summaries for the team.
  • Collaborate with hardware engineers, material scientists, and circuit designers to mitigate dominant noise sources.

Skills

Data analysis (R/SAS/Matlab)
SQL

Education

PhD in quantitative field
MS with 1+ years of quantitative research

Tools

SQL databases

Job description

Quantum Research Scientist, Device Team

Location: Pasadena, CA

We are hiring a Quantum Research Scientist for the Test and Measurement group at the Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA. You will join a multidisciplinary team of theoretical and experimental physicists, materials scientists, and hardware and software engineers working at the forefront of quantum computing.

Key job 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 results and prepare clear summaries for the team.
  • Collaborate with hardware engineers, material scientists, and circuit designers to implement changes that mitigate the impact of the most significant noise sources.

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 U.S. export license. If you are unsure whether you meet these requirements, please apply and Amazon will review your application for eligibility.

Basic Qualifications
  • PhD in a quantitative field, or MS degree and 1+ years of quantitative field research experience.
  • Experience investigating the feasibility of applying scientific principles and concepts to business problems and products.
  • Experience with data analysis packages (R, SAS, Matlab, etc.).
  • Experience using SQL databases to manage and analyze large data sets.
Preferred Qualifications
  • PhD in operations research, applied mathematics, theoretical computer science, or equivalent.
  • Experience applying forecasting and data mining techniques.

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

Base pay for this position ranges from $113,000/year in our lowest geographic market up to $195,200/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. Amazon is a total compensation company; in addition to base pay, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package.

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