Quantum Applied Scientist, AWS CQC Design and Software
DESCRIPTION:
The AWS Center for Quantum Computing is looking to hire an Applied Scientist focused on the development of software and techniques for quantum electronic design automation. In this role, you will conduct research into scalable modeling, computer-aided design (CAD), and simulation techniques and software for designing superconducting quantum processors. You may join us in building Palace [1,2], an open-source cloud-scalable finite-element electromagnetics solver developed within our team. Or, you may build design automation capabilities for device layout and device modeling. 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/
A day in the life
Diverse Experiences
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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
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.
We are open to hiring candidates to work out of one of the following locations:
San Francisco, CA, USA
BASIC QUALIFICATIONS:
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- 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 $136,000/year in our lowest geographic market up to $222,200/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.
