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Description

External job description

As a Sr. Applied Scientist, you will be responsible for assessing and optimizing the performance and reliability of our new and emerging category of devices – Kuiper Customer Terminal. Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to un-served and under-served communities around the world.

In this role, you will use expertise in physical sciences, theoretical, numerical or empirical techniques to create scalable models representing response of physical systems or devices, including:

- Applying domain scientific expertise towards developing innovative analysis and tests to study viability of new materials, designs or processes

- Working closely with engineering teams to drive validation, optimization and implementation of hardware design or software algorithmic solutions to improve product and customer risks

- Establishing scalable, efficient, automated processes to handle large scale design and data analysis

- Conducting research into use conditions, materials and analysis techniques

- Tracking general business activity including device health in field and providing clear, compelling reports to management on a regular basis

- Developing, implementing guidelines to continually optimize design processes

- Using simulation tools like LS-DYNA, and Abaqus for analysis and optimization of product design

- Using of programming languages like Python and Matlab for analytical/statistical analyses and automation

- Demonstrating strong understanding across multiple physical science domains, e.g. structural, thermal, fluid dynamics, and materials

- Developing, analyzing and testing structural solutions from concept design, feature development, product architecture, through system validation

- Supporting product development and optimization through application of analysis and testing of complex electronic assemblies using advanced simulation and experimentation tools and techniques

Basic Qualifications

- PhD, or Master's degree and 5+ years of industry or academic research experience

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

- Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum."

Preferred Qualifications

- PhD in mechanical engineering, electrical engineering, material science, physics or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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.