SDE-II, Supply Chain

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 problems into elegant, shippable solutions - Comfort operating in a fast-paced environment where you own your systems end-to-end - Excellent communication skills and a track record of raising the engineering bar on your team Key job responsibilities You will be working on a high throughput system that deals with complex challenges in the field of distributed systems and math optimization. You will be responsible for: 1. Leading end to end design of core infrastructural improvements 2. Leading discussions with business teams, supply chain managers and other experts in the field of supply chain and logistics to model ground realities into software 3. Building scalable mechanisms to deal with operational load, continous improvement systems to monitor and reduce defects, and mechanisms to manage complex operations while running lean systems About the team Within Amazon's Supply Chain Optimization Technologies, the F2P (Fulfill to Promise) team makes assignment decisions for every customer order fulfilled by the Amazon fulfillment network. These decisions are customer-obsessed: they prioritize customer needs and satisfaction, then minimize fulfillment cost. Because the KPIs tracking fulfillment cost naturally trade off against one another, and because Amazon's speed and selection offerings constantly evolve, the team builds scalable mechanisms that model these offerings and balance their trade-offs when making assignment decisions.