Amazon
Simulation & Modeling Research Scientist, Prime Air Flight Sciences High Fidelit
Amazon, Seattle, Washington, United States, 98101
Prime Air Drone Flight Sciences High Fidelity Methods Research Scientist
At Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to deliver to customers quickly, cost-effectively, and most importantly safely, in less than an hour. 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 accuracy and reliability of these models are critical to the success of Prime Air. Key job responsibilities include 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 modeling 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 modeled 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. Basic qualifications include a bachelor's degree in aerospace engineering, mechanical engineering, physics and 5+ years experience or equivalent. Experience with flight vehicle design, simulation, development, and verification & validation (V&V) is required. Proficiency with at least one modern programming language is also required. Preferred qualifications include a master's or PhD in aerospace engineering, mechanical engineering, physics or equivalent. Experience with flight test planning, instrumentation and data reduction techniques is also preferred. Experience with high-fidelity aerodynamics prediction methods including wind tunnel testing, and computation fluid dynamics (CFD) is required. Knowledgeable about fixed-wing and/or rotorcraft flight physics is required. Experience with uncertainty quantification in the context of computational models is required. Experience with Gaussian Process (GP) Regression is required. Experience with regulatory and certification processes pertaining to flight performance is required. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit
Amazon Accommodations
for more information. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
At Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to deliver to customers quickly, cost-effectively, and most importantly safely, in less than an hour. 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 accuracy and reliability of these models are critical to the success of Prime Air. Key job responsibilities include 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 modeling 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 modeled 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. Basic qualifications include a bachelor's degree in aerospace engineering, mechanical engineering, physics and 5+ years experience or equivalent. Experience with flight vehicle design, simulation, development, and verification & validation (V&V) is required. Proficiency with at least one modern programming language is also required. Preferred qualifications include a master's or PhD in aerospace engineering, mechanical engineering, physics or equivalent. Experience with flight test planning, instrumentation and data reduction techniques is also preferred. Experience with high-fidelity aerodynamics prediction methods including wind tunnel testing, and computation fluid dynamics (CFD) is required. Knowledgeable about fixed-wing and/or rotorcraft flight physics is required. Experience with uncertainty quantification in the context of computational models is required. Experience with Gaussian Process (GP) Regression is required. Experience with regulatory and certification processes pertaining to flight performance is required. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit
Amazon Accommodations
for more information. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.