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How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos).
If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you.
Come work on the Amazon Prime Air Team!
Our Prime Air Drone Flight Sciences High Fidelity Methods (HFM) team is looking for an outstanding research scientist (RS) to develop and verify our drone systems models and flight physics models.
Our models are the backbone of every flight simulation performed within Prime Air and are a critical input to business decisions, aircraft design, system verification, and aircraft certification.
The HFM team’s products enable the prediction of vehicle performance metrics including range, maneuverability, tracking error, and aircraft stability. They help us understand how vehicle design and operational decisions impact business metrics like customer reachability. They are a crucial element in the design of flight control algorithms and software testing. The accuracy and reliability of these models are critical to the success of Prime Air.
Key job responsibilities
The person in this role is responsible for owning the development, deployment, verification, and maintenance of simulation models from end-to-end. This includes the initial gathering of the downstream customer needs, identifying the most suitable modelling approach and level of fidelity, coordinating the generation of input data, training models, developing and maintaining software interfaces, and verifying the model accuracy.
This person will also be responsible for determining the most suitable modeling approach for a given physical phenomena. They will need to have a basic understanding of the types of physics and systems to be modelled including electric powertrain components, guidance and navigation system (GNS) sensors, vehicle aerodynamics, propeller performance, multibody dynamics, and atmosphere physics.
They will be responsible for designing experiments for generating data used to create and verify models. They will be responsible for validating the models by leveraging uncertainty quantification and statistical analyses.
