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Research Scientist, Fabrication Team, Research Scientist, AWS Quantum Computing
Amazon
This job is no longer accepting applications
See open jobs at Amazon.See open jobs similar to "Research Scientist, Fabrication Team, Research Scientist, AWS Quantum Computing" WCT-FCT.Pasadena, CA, USA
Posted on Jul 20, 2024
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 all 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 building software tools for data analysis and visualization to enable deep diving into fabrication details, 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
* Develop and automate data pipeline pertinent to superconducting device fabrication.
* Develop analytical tools to uncover new information about established and new processes.
* Develop new or contribute to modifying existing data visualization tools.
* Utilize machine learning to enable better deeper dives into fabrication and related data.
* Interface with various software, design, fabrication and electrical test teams to enable new functionalities.
A day in the life
The role will be vital to the fabrication team and quantum computing device integration mechanism. The candidate will develop software based analytical tools to enable data driven decisions across projects related to fabrication and supporting infrastructure. Each fabrication run delivers additional data. 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.
About the team
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.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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, it’s 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.
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
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
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.
BASIC QUALIFICATIONS
- PhD or Masters + 3 yrs experience, or equivalent, in Physics, Electrical Engineering, or Computer Science (can be currently enrolled, but must complete in 2024)
- Experience analyzing both experimental and observational data sets
- Experience with scientific coding/scripting languages (Python numpy, MATLAB) and SQL.
PREFERRED QUALIFICATIONS
- 3+ 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
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 $136,000/year in our lowest geographic market up to $212,800/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.
This job is no longer accepting applications
See open jobs at Amazon.See open jobs similar to "Research Scientist, Fabrication Team, Research Scientist, AWS Quantum Computing" WCT-FCT.