Simulation & Modeling Applied Scientist, Prime Air Flight Sciences High Fidelity Methods

Amazon is hiring a Simulation & Modeling Applied Scientist, Prime Air Flight Sciences High Fidelity Methods in Seattle, United States. It pays $143k-$193k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this applied scientist role is Uses AI ●●○○: an ordinary role that requires AI tools.
Tools and skills the posting cites include applied science, simulation and modeling.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Develops and verifies high-fidelity drone system and flight physics models for Amazon Prime Air simulation.

applied-sciencesimulationmodelingphysicsflight-dynamics

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, 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!

Prime Air's Flight Sciences High-Fidelity Methods (HFM) team is seeking an outstanding Applied Scientist to develop and verify drone systems models and flight physics models. These models form the backbone of every flight simulation performed within Prime Air, directly informing aircraft design, system verification, certification, and business decisions.

The HFM team's work enables prediction of critical vehicle performance metrics—including range, maneuverability, tracking error, and aircraft stability—and connects vehicle design and operational decisions to business outcomes such as customer reachability. Our models are also a crucial input to the design of flight control algorithms and software verification. Because the accuracy and reliability of these models underpin so many facets of Prime Air's mission, the scientist in this role will have broad, high-visibility impact on the program's success.

Key job responsibilities
The Applied Scientist in this role will own the end-to-end lifecycle of simulation models—from development and deployment through verification and ongoing maintenance. This begins with gathering downstream customer needs, selecting the most suitable modeling approach and level of fidelity, and coordinating the generation of input data. It extends through model training, development and maintenance of software interfaces, and verification of model accuracy.

A core aspect of this role is determining the right modeling approach for a given physical phenomenon. The scientist will need a working understanding of the physics and systems being modeled, including vehicle aerodynamics, propeller performance, multibody dynamics, atmospheric physics, electric powertrain components, and guidance and navigation system (GNS) sensors. They will design experiments to generate the data needed to build and verify models, and apply uncertainty quantification and statistical analyses to validate model fidelity.

Basic qualifications

- PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience
- Experience programming in Java, C++, Python or related language
- Experience with flight vehicle simulation development, aircraft system identification or simulation verification & validation (V&V)
- Solid understanding of software design principles

Preferred qualifications

- Experience with flight test planning, instrumentation and data reduction techniques
- Experience with high-fidelity aerodynamics prediction methods including wind tunnel testing, and computation fluid dynamics (CFD)
- Knowledgeable about fixed-wing and/or rotorcraft flight physics
- Experience with uncertainty quantification in the context of computational models

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, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

How we rate this

Simulation & Modeling Applied Scientist, Prime Air Flight Sciences High Fidelity Methods at Amazon rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Simulation & Modeling Applied Scientist, Prime Air Flight Sciences High Fidelity Methods is an open job at Amazon.
Level rates this role AI Level 2 of 4: Uses AI.
The listed salary is $143k-$193k a year.
The role is based in US, WA, Seattle.
The job was posted on August 19, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Applied ScienceSimulationModelingPhysicsFlight Dynamics

Pay

This job starts at: $143k
Typical applied scientist job: $167k

This posting starts 15% below the typical applied scientist job. See applied scientist jobs

Questions you could be asked

Tell me about a project where applied science was part of your work. What did you do?
Tell me about a project where simulation was part of your work. What did you do?
Tell me about a project where modeling was part of your work. What did you do?
Tell me about a project where physics was part of your work. What did you do?
Tell me about a project where flight dynamics was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Applied Science, Simulation, Modeling, Physics, and Flight Dynamics. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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