Airspace Management Simulation Research Scientist, Prime Air Flight Sciences High Fidelity Methods

Amazon • Seattle, WA

7d

About The Position

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!

We're looking for a Research Scientist with a background in developing
simulations for traffic management algorithms, including expert knowledge in
strategic deconfliction, tactical deconfliction, or detect-and-avoid systems.
Managing a large number of concurrent autonomous drone flights that share
airspace with other autonomous or manned aircraft is a challenging problem. Be
part of the team building simulation tools and algorithms to solve this at
scale.

This role will contribute to a portfolio of simulation tools managing concurrent
airspace traffic for aviation systems. This will include developing new
methodologies in the areas of conflict detection and resolution, as well as
developing related software systems that will be used in operation to enable
package delivery at scale. The ideal candidate is comfortable with risk-taking
and ambiguity and able to build consensus on critical, controversial technical
decisions. If you enjoy the process of solving real-world problems that haven’t
been solved at scale anywhere before, Prime Air is right for you. Along the way,
we guarantee you’ll get opportunities to be a disruptor, prolific innovator, and
a reputed problem solver and directly impact Amazon’s customers worldwide.

Requirements

• PhD, or Master's degree and 4+ years of quantitative field research experience
• Knowledge of at least one modern programming language such as C, C++, Java, or Perl
• Experience doing research on air traffic management algorithms

Nice To Haves

• Experience developing software in a production environment
• Experience publishing and presenting scientific research in professional journals or conferences
• Experience with building discrete event simulation tools from first principles, air traffic flow management, routing algorithms

Responsibilities

• The primary focus of this role will be on modeling traffic management frameworks that use a layered conflict detection and resolution strategy to ensure safe and efficient flight operations.
• This will include developing fundamental simulation infrastructure code, including discrete event simulation tooling.
• In addition, it will involve developing expert knowledge of the layers of mitigation and conducting in-depth scientific research on alternative solutions for conflict resolution.
• The candidate will contribute to significant and impactful systems that will provide value for Amazon customers and will drive these projects from the concept stage through development.
• This role will include substantial software development in prototyping and production environments.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level