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Applied Scientist, Prime Air Flight Sciences Vehicle Design & Test

Amazon

Applied Scientist, Prime Air Flight Sciences Vehicle Design & Test

full-timePosted: Aug 16, 2026Updated: Aug 27, 2026Seattle, Washington, United States

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, 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 Vehicle Design and Test team within Flight Sciences is looking for an engineer to help us rapidly configure, design, analyze, prototype, and test innovative drone vehicles. You’ll be responsible for developing, improving, and maintaining a suite of multi-disciplinary optimization (MDO) tools across all aircraft design disciplines. You’ll use these to explore new and novel drone vehicle conceptual designs in both focused and wide open design spaces, with the ultimate goal of meeting our customer requirements. You’ll have the opportunity to prototype vehicle designs and support wind tunnel and other testing of vehicle designs. You will directly support the Office of the Chief Program Engineer, and work closely across all vehicle subsystem teams to ensure integrated designs that meet performance, reliability, operability, manufacturing, and cost requirements. In addition, you’ll own the Flight Sciences assessments and analysis methods for the drone vehicle design as it progresses through later stages of development. About the team Our Flight Sciences Vehicle Design & Test organization includes teams that span the following disciplines: Aerodynamics, Performance, Stability & Control, Configuration & Spatial Integration, Loads, Structures, Mass Properties, Multi-disciplinary Optimization (MDO), Wind Tunnel Testing, Noise Testing, Flight Test Instrumentation, and Rapid Prototyping.

Locations

  • Seattle, Washington, United States

Salary

167,100 - 226,100 USD / yearly

Skills Required

  • programming languages such as C/C++intermediate
  • flight vehicle designintermediate
  • air vehicle aerodynamic designintermediate
  • multi-disciplinary analysis & optimizationintermediate

Required Qualifications

  • Knowledge of programming languages such as C/C++, Python, Java or Perl (experience)
  • Bachelors Degree in aerospace engineering, mechanical engineering, physics and 7+ years experience or equivalent (experience, 7 years)
  • Experience with flight vehicle design, simulation, and development (experience)

Preferred Qualifications

  • Master's or PHD in aerospace engineering, mechanical engineering, physics or equivalent (degree in phd in aerospace engineering)
  • 5+ years experience in air vehicle aerodynamic design, analysis, and testing (preferably electric propulsion vehicles) (experience, 5 years)
  • Wind tunnel testing experience (experience)
  • Propeller/rotor design, analysis, and testing experience (experience)
  • Experience using multi-disciplinary analysis & optimization (MDO/MDAO) tools and methods (experience)
  • Vehicle level design intuition and ability to operate & analyze at the system-of-systems level (experience)
  • Specialization in one or more of the following domains of aircraft design: aerodynamics, performance, stability & control, propulsion, loads, airframe structures (experience)
  • Experience using: modeFRONTIER, Model Center, or OpenMDAO, and CATIA (experience)

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