Lead Scientist & Manager, Autonomous Drone Path Planning

Amazon; Seattle (WA); Presencial; USD 184.000 - 249.000; Jornada completa

Descripción de la vacante

Amazon.com Services LLC is seeking an Applied Science Manager to lead the evolution of our Mission Planning and Orchestration System for Prime Air. You will head a top-tier team bridging Geospatial Intelligence and Machine Learning to optimize path planning and scheduling for high-throughput drone deliveries.

You will own the development of scalable, resilient systems, mentor researchers and engineers, and collaborate with hardware, safety, and supply chain teams to translate research into

Formación

• PhD, or Master's degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience directly managing scientists or machine learning engineers.
• Experience with the Scrum methodology (or similar) for agile software development

Responsabilidades

• Lead & mentor a cross-functional team of scientists and engineers.
• Innovate path planning using ML/RL and heuristic search techniques.
• Optimize orchestration with high-scale scheduling for battery life, maintenance, and delivery windows.
• Leverage geospatial data to improve mission safety and awareness.
• Define long-term technical roadmaps for mission orchestration and scalable systems.
• Collaborate with hardware, flight safety, and supply chain teams to translate requirements into breakthroughs

Conocimientos

Java

C++

Python

Managing scientists

Scrum/Agile

Educación

PhD or MS with 6+ years of applied research

Descripción del empleo

Amazon.com Services LLC is seeking an Applied Science Manager to lead the evolution of our Mission Planning and Orchestration System for Prime Air. You will head a top-tier team bridging Geospatial Intelligence and Machine Learning to optimize path planning and scheduling for high-throughput drone deliveries.

You will own the development of scalable, resilient systems, mentor researchers and engineers, and collaborate with hardware, safety, and supply chain teams to translate research into