The Amazon Web Services (AWS) Center for Quantum Computing (CQC) is a multi-disciplinary team of scientists, engineers, and technicians, on a mission to develop a fault-tolerant quantum computer. We are looking to hire a Research Scientist with fabrication and data analysis experience working on Josephson Junction elements of a superconducting circuit. The position is on-site at our lab, located on the in Pasadena, CA. The ideal candidate will have had prior experience deep diving into fabricat... more details
DESCRIPTION
The Amazon Web Services (AWS) Center for Quantum Computing (CQC) is a multi-disciplinary team of scientists, engineers, and technicians, on a mission to develop a fault-tolerant quantum computer.
We are looking to hire a Research Scientist with fabrication and data analysis experience working on Josephson Junction elements of a superconducting circuit. The position is on-site at our lab, located on the in Pasadena, CA. The ideal candidate will have had prior experience deep diving into fabrication details and electrical test data. We are looking for candidates with strong engineering principles, resourcefulness and data science experience. Organization and communication skills are essential.
Key job responsibilities * Deep dive into the physics and related data associated with Josephson Junctions or metal-insulator-metal fabrication processes. * Develop and maintain data pipeline pertinent to superconducting device fabrication, in particular Josephson Junctions or general transmon elements. * Develop analytical tools to uncover new information about established and new junction processes. * Generate both custom and standardized reports summarizing inline and end of line electrical and process data from product material runs. * Devise experiments and provide recommendations for improvement of fabrication processes. * Communicate findings with colleagues by way of crisp documentation and presentations.
A day in the life The role will be vital to the fabrication team and quantum computing device integration mechanism. The candidate will provide the most current information to project leads and fabrication area owners to drive data driven decision of production runs. Once the fabrication run starts the candidate will stay close to the details of fabrication providing data analysis and quick feedback to key stakeholders. At the end of fabrication runs custom and standardized reports will be generated by the candidate to provide insights into data generated from the run. This 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, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture Here at AWS, its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
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Hybrid Work We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.
About the team Our team is comprised of scientists and engineers who are building hardware that enables quantum computing technologies. Doing that requires the fabrication of quantum devices, which necessitates staying close to the details and analyzing data while building tools to better understand the data.
We are open to hiring candidates to work out of one of the following locations:
Pasadena, CA, USA
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 package (R, SAS, Matlab, etc.)
PREFERRED QUALIFICATIONS
- Knowledge of R, MATLAB, Python or similar scripting language - Experience with agile development - Experience building web based dashboards using common frameworks - Knowledge of Josephson Junction, MRAM or general MIM physics. Hands-on knowledge of junction fabrication, semiconductor processing in research and/ or industrial settings
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The 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. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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