Modeling & Simulation Eng, Leo

Amazon Leo Modeling And Simulation Engineering Position

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas.

You'll have high standards for yourself and the work you deliver, and you'll be looking for ways to improve your models' accuracy, computational efficiency, and operational impact.

Key job responsibilities include developing, validating, and maintaining physics-based and empirical models of the Leo satellite power system. You will build simulation frameworks that predict battery state of charge, solar array power generation, thermal-electrical coupling, and power system degradation over the satellite lifecycle. Your models will be used to inform architecture trade studies, hardware/software design decisions, validate on-orbit performance, and feed operational planning tools that manage constellation-wide energy resources.

You will own the development of orbit-level power simulations that ingest mission plans, orbital parameters, and hardware configuration to predict future power system behavior. You will correlate model predictions against on-orbit telemetry, identify model gaps, and iterate to improve fidelity. You will develop degradation models (battery capacity fade, solar array efficiency loss) using a combination of lab test data, manufacturer characterization, and flight data.

Everyone on the team needs to be entrepreneurial, wear many hats, and work in a highly collaborative environment. We will need to tackle problems that span a variety of domains.

A day in the life includes working closely with power systems engineers, mission operations, and software teams to integrate your models into operational services such as the Power Digital Twin and hardware-in-the-loop testbeds. You will also support design teams by running parametric studies and sensitivity analyses for next-generation satellite configurations.