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Amazon Sr. Applied Scientist, AWS Center for Quantum Computing, Design and Simulation in San Francisco, California

Description

The AWS Center for Quantum Computing is looking to hire a Sr. Applied Scientist with expertise in computational physics as well as software engineering. In this role, you will work on Palace, our open-source cloud-scalable 3D finite-element electromagnetics solver [1,2], as well as research related to numerical simulation and scientific computing.

You will have an opportunity to make an enduring impact on the development of fault-tolerant quantum computers without necessarily having a quantum computing research background. Take a look at what we're building!

[1] https://github.com/awslabs/palace

[2] https://aws.amazon.com/blogs/quantum-computing/aws-releases-open-source-software-palace-for-cloud-based-electromagnetics-simulations-of-quantum-computing-hardware/

Key job responsibilities

You will build modeling and simulation capabilities in an open-source 3D finite element electromagnetics solver, diagnose and improve performance, maintain CI/CD and builds, and address issues reported internally and externally.

You will conduct research at the intersection of computational electromagnetics and superconducting quantum computing and serve as a domain expert and mentor to internal team members who work on device design and modeling and simulation tools.

A day in the life

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 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.

About the team

You are joining a team that is building scientific application codes for quantum electronic design automation. You will work closely with a co-located quantum processor design team. We release and contribute to open source software.

Basic Qualifications

  • PhD, or Master's degree and 6+ years of applied research experience

  • Experience programming in Java, C++, Python or related language

  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

  • Experience with high-performance computing

  • Experience developing software that scales in heterogenous computing environments, including CPUs and GPUs

  • Experience with CAD and EDA software

  • Experience developing software in Julia and C+- Knowledge of electromagnetics, microwave engineering, and/or superconducting qubits

  • Knowledge of numerical linear algebra, computational geometry, meshing, and finite-element methods

  • Experience using or developing techniques in machine learning and generative AI is a plus

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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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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