Simulation & Modeling Applied Scientist, Prime Air Flight Sciences High Fidelity Methods
Core
Develop and verify high-fidelity simulation models for drone flight physics to inform aircraft design, system verification, and business decisions for Amazon Prime Air.
Role type
Applied Scientist (Flight Simulation & Modeling)
Builds
High-fidelity simulation models for vehicle performance prediction and flight control algorithm design
Domain
Aerospace engineering, drone systems, flight physics
Deliverable
production ML models
Required skills
Physics modeling, aerodynamics, multibody dynamics, atmospheric physics, electric powertrain analysis, guidance and navigation systems, uncertainty quantification, statistical analysis, software design
Preferred skills
Flight test planning, instrumentation, data reduction, high-fidelity aerodynamics prediction (wind tunnel, CFD), fixed-wing/rotorcraft flight physics
Technologies
Java, C++, Python
Responsibilities
Own end-to-end lifecycle of simulation models from development to verification, select modeling approaches and fidelity levels, coordinate input data generation, design experiments for model verification, apply uncertainty quantification and statistical analyses
Seniority
Senior, hands-on IC
