Applied Scientist

4 weeks ago


Seattle, United States Amazon Full time

Job ID: 2721460 | Amazon Kuiper Manufacturing Enterprises LLC Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. As an Applied Scientist on the team, you will be responsible for building out and maintaining the algorithms and software services behind one of the world’s largest satellite constellations. You will develop algorithms and applications that provide mission-critical information derived from past and predicted satellite orbits to other systems and organizations rapidly, reliably, and at scale. You will focus on contributing to the design and analysis of software systems responsible across a broad range of areas required for automated management of the Kuiper constellation. You will apply knowledge of mathematical modeling, optimization algorithms, astrodynamics, state estimation, space systems, and software engineering across a wide 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 orbit determination and prediction systems, and develop analysis and infrastructure to monitor and support systems performance. Your work will interface with various subsystems within Project Kuiper and Amazon, as well as with external organizations, to enable engineers to safely and efficiently manage the satellite constellation. The ideal candidate will be detail-oriented, possess strong organizational skills, be able to work independently, juggle multiple tasks at once, and maintain professionalism under pressure. You should have proven knowledge of mathematical modeling and optimization along with strong software engineering skills. You should be able to independently understand customer requirements and use data-driven approaches to identify possible solutions, select the best approach, and deliver high-quality applications. BASIC QUALIFICATIONS - PhD, or Master's degree and 2+ years of science, technology, engineering or related field experience - 2+ years of programming in Java, C++, Python or related language experience - 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 - Familiarity with astrodynamics and satellite guidance, navigation, and control - Knowledge of at least one mathematical optimization field such as convex optimization, integer programming, or dynamic programming - Familiarity with state estimation techniques such as Kalman Filtering or Least-Squares Estimation - Strong communication skills, ability to work collaboratively in a team environment, and enjoyment of learning and teaching new skills - Experience with cloud services and cloud-native software development - History of delivering and operating software in a production environment - Experience developing for and working with satellite or space systems 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. 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. #J-18808-Ljbffr


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