Simulation Modeling Research Scientist Prime Air Flight Sciences High Fidelity Methods
Simulation Modeling Research Scientist Prime Air Flight Sciences High Fidelity Methods
Posted on :
11-04-2025
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1 Vacancy
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Job Description
Here at Amazon we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization.
How do you get items to customers quickly costeffectively andmost importantlysafely 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 whats to come. Check out more information about Prime Air on the About Amazon blog you are seeking an iterative environment where you can drive innovation apply stateoftheart 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 teams 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 endtoend. 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.
Bachelors 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)
Proficient with at least one modern programming language (e.g. C Python Java VBA)
Masters or PHD in aerospace engineering mechanical engineering physics or equivalent
3 years experience in air vehicle aerodynamic design analysis and testing (preferably electric propulsion vehicles)
Experience with flight test planning instrumentation and data reduction techniques
Experience with highfidelity aerodynamics prediction methods including wind tunnel testing and computation fluid dynamics (CFD)
Knowledgeable about fixedwing and/or rotorcraft flight physics
Experience with uncertainty quantification in the context of computational models
Experience with Gaussian Process (GP) Regression
Experience with regulatory and certification processes pertaining to flight performance
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
How do you get items to customers quickly costeffectively andmost importantlysafely 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 whats to come. Check out more information about Prime Air on the About Amazon blog you are seeking an iterative environment where you can drive innovation apply stateoftheart 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 teams 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 endtoend. 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.
Bachelors 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)
Proficient with at least one modern programming language (e.g. C Python Java VBA)
Masters or PHD in aerospace engineering mechanical engineering physics or equivalent
3 years experience in air vehicle aerodynamic design analysis and testing (preferably electric propulsion vehicles)
Experience with flight test planning instrumentation and data reduction techniques
Experience with highfidelity aerodynamics prediction methods including wind tunnel testing and computation fluid dynamics (CFD)
Knowledgeable about fixedwing and/or rotorcraft flight physics
Experience with uncertainty quantification in the context of computational models
Experience with Gaussian Process (GP) Regression
Experience with regulatory and certification processes pertaining to flight performance
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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