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Amazon · 10 hours ago

Applied Scientist, Amazon LEO Capacity Planning - Simulation & Optimization

Bellevue, WA

Full-time

Onsite

Mid, Senior Level

$136K/yr - $223K/yr

3+ years exp

Amazon is an initiative to increase global broadband access through a constellation of satellites. The role involves designing, implementing, and operating systems for capacity simulations and inventory optimization within the Amazon LEO Global Capacity Planning team.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail

No H1B

U.S. Citizen Only

Responsibilities

Work cross-functionally with product, business development, and various technical teams (engineering, science, R&D, simulations, etc.) to implement the long-term vision, strategy, and architecture for capacity simulations and inventory optimization

Design and deliver modern, flexible, scalable solutions to complex optimization problems for operating and planning satellite resources

Contribute to short and long terms technical roadmap definition efforts to predict future inventory availability and key operational and financial metrics across the network

Design and deliver systems that can keep up with the rapid pace of optimization improvements and simulating how they interact with each other

Analyze large amounts of satellite and business data to identify simulation and optimization opportunities

Synthesize and communicate insights and recommendations to audiences of varying levels of technical sophistication to drive change across Amazon LEO

Qualification

Model buildingProgramming in JavaProgramming in C++Programming in PythonAlgorithmsData structuresNumerical optimizationData miningParallel computingDistributed computingUnix/Linux experienceProfessional software developmentPatentsPublications

Required

3+ years of building models for business application experience

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