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Applied Scientist - Kuiper, SDN: Capacity Management
Applied Scientist - Kuiper, SDN: Capacity Management-March 2024
Redmond
Mar 28, 2026
About Applied Scientist - Kuiper, SDN: Capacity Management

  Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband network connectivity to unserved and underserved communities around the world.Key job responsibilities* Solve large scale and complex optimization problems for operating and planning satellite constellations* Work with our peer teams and customers to design suitable software systems to fulfill the mission needs.* Write code for production cloud native software systems in Java and Python.* Utilize AWS and other Amazon technologies to build high-available software services.* Help on-board and mentor new team members.* Lead technical roadmap definition efforts and decide what software services to build.Export Control RequirementDue 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.A day in the lifeYou will be focused on contributing to the design and analysis of software systems responsible across a broad range of areas required for automated management and planning of the Kuiper constellation. You will use mathematical modeling, optimization algorithms, state and capacity estimation, space systems, and software engineering to drive the solution of a variety of problems to enable space operations at an unprecedented scale. You will develop features for systems to interface with internal and external teams, predict and plan communication opportunities, manage satellite orbits determination and prediction systems, develop analysis and infrastructure to monitor and support systems performance.About the teamIn Project Kuiper, we believe that our differences makes us stronger. We are committed to Amazon's culture of inclusion ingrained in our Leadership Principles, which encourages team members to seek diverse perspectives, learn and be curious, and earn trust. We want to foster a culture of collaboration, delivering results and work/life balance.We are open to hiring candidates to work out of one of the following locations:Redmond, WA, USA- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Knowledge of programming languages such as C/C++, Python, Java or Perl- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.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 $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. Applicants should apply via our internal or external career site.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

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