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.

We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve extreme-scale real world delivery challenges, and provide visible benefit to end-users, this is your opportunity.

Come work on the Amazon Prime Air team

We’re looking for outstanding scientists and engineers who combine superb technical, research and analytical capabilities with a demonstrated ability architect complex hardware, software, embedded, mobile and mission-critical systems to ensure they can be found compliant to DO-178C. This person must be comfortable working with a team of top-notch software, hardware and applied science Engineers.

We’re looking for people who innovate and love solving hard problems. You will work hard, have fun, and of course, make history!

Export License Control

This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf.

Key job responsibilities
The manager of the High Fidelity Modeling group will lead a group of engineers and scientists that provide computational fluid dynamics modeling, as well as aerodynamic and other surrogate models used in flight simulation of the Prime Air drones.

BASIC QUALIFICATIONS

– 7+ years experience in CFD or flight simulation database generation and validation
– BSc/MSc in aerospace eng., mechanical eng., computer science, or equivalent
– Demonstrated success in communicating with technical teams to collect requirements, describe product features and technical designs and driving implementation across multiple teams
– Firm understanding of software design principles

PREFERRED QUALIFICATIONS

– 10+ years experience in CFD or flight simulation database generation and validation
– PhD in aerospace eng., mechanical eng., computer science, or equivalent
– Experience with machine learning and gaussian process regression techniques

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $157,600/year in our lowest geographic market up to $272,400/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. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

USA, WA, Seattle