SDE-II,SupplyChain

Have you ever ordered a product on Amazon and wondered how it got to you so fast? What if you could build the AI-powered systems that make that happen — and make it faster, cheaper, and more sustainable? Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scot Amazon's Supply Chain Optimization Technologies (SCOT) organization is responsible for the end-to-end systems that plan, optimize, and execute the movement of billions of packages across the world's most complex logistics network. We build real-time, intelligent, and fully automated systems that touch every aspect of the delivery experience — from the moment a customer clicks "Buy" to the package arriving at their door. What you'll work on: - You'll join a team within SCOT that's pushing the boundaries of what's possible with AI and algorithms in transportation: - AI-Powered Network Automation – Build agentic AI systems that continuously monitor, optimize, and autonomously evolve one of the world's largest transportation networks. You'll work on systems that generate, validate, and deploy network configurations using large language models and advanced automation — moving toward a future where the network intelligently adapts itself. - Route Optimization at Scale – Design and implement graph algorithms that find optimal routes across a massive, multi-modal transportation network — optimizing simultaneously for speed, cost, and environmental sustainability. You'll solve multi-variable optimization problems at a scale few companies in the world operate at. - Scalable Distributed Systems – Build highly available, low-latency services that process millions of decisions in real-time, powering the backbone of Amazon's transportation planning and execution What we're looking for: - Strong foundations in data structures, algorithms, and system design - Experience with or passion for: graph algorithms, optimization, AI/ML systems, or generative AI - Ability to break down ambiguous, complex