Quantum Error Correction Research Scientist

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 Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll 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, 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 Amaze Con (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.

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…