This role is for the quantum error correction team (QEC). The team delivers software tools, carries out simulations, and shares expertise in quantum error correction with other teams to support our experimental efforts. The candidate will work with other members of our team to extend our qec software tools, to run simulations aimed at informing experiments, and to explore and evaluate new codes, fault-tolerant gadgets, and qubit architectures in the context of error correction. We are looking fo... more details
DESCRIPTION
This role is for the quantum error correction team (QEC). The team delivers software tools, carries out simulations, and shares expertise in quantum error correction with other teams to support our experimental efforts. The candidate will work with other members of our team to extend our qec software tools, to run simulations aimed at informing experiments, and to explore and evaluate new codes, fault-tolerant gadgets, and qubit architectures in the context of error correction. We are looking for an expert in error correction theory, who will be able to initiate new research directions for the team and disseminate their expertise within the team and across other teams.
About the team AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization, youll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
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.
Mentorship & Career Growth Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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, theres nothing we cant 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.
We are open to hiring candidates to work out of one of the following locations:
Pasadena, CA, USA
BASIC QUALIFICATIONS
- PhD, or Master's degree and 5+ years of quantitative field research experience - 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience - Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc. - Experience communicating qualitative research methods and findings to non-qualitative researchers
PREFERRED QUALIFICATIONS
- Experience converting research studies into tangible real-world changes - Experience with discrete and continuous optimization methodologies and algorithms
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 $127,300/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. 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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