Airspace Simulation Scientist for Autonomous Drone Traffic

Amazon Science; Seattle (WA); On-site; USD 142,800 - 193,200; Full time

Job summary

Amazon seeks an Applied Scientist to develop simulation-based traffic management for Prime Air. You will build scalable simulation tools, model layered conflict detection and resolution, and contribute end-to-end from concept to production.

The role emphasizes handling large-scale autonomous drone flights with rigorous engineering and collaboration across teams. The ideal candidate will have a strong background in simulations, optimization, and high-performance computing, with experience in

Qualifications

• PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Responsibilities

• Modeling traffic management frameworks using layered conflict detection and resolution to ensure safe, efficient flight operations; develop fundamental simulation infrastructure; gain expert knowledge of mitigation layers and conduct in-depth scientific research on conflict resolution; contribute to large-scale, production-ready systems and tools for Amazon customers

Skills

Java

C++

Python

Algorithms

Data structures

Parallel computing

Distributed computing

High-performance computing

Patents/publications

PhD/Masters

Discrete event simulation

Education

PhD or Master’s + 4+ years CS/CE/ML

Tools

Unix/Linux

Job description

Amazon seeks an Applied Scientist to develop simulation-based traffic management for Prime Air. You will build scalable simulation tools, model layered conflict detection and resolution, and contribute end-to-end from concept to production.

The role emphasizes handling large-scale autonomous drone flights with rigorous engineering and collaboration across teams. The ideal candidate will have a strong background in simulations, optimization, and high-performance computing, with experience in