Amazon's Transportation Volume Planning team is seeking a Software Development Engineer to join their Fulfillment Optimization organization. This role focuses on developing ML and simulation systems that optimize the distribution of millions of products across Amazon's warehouses. The team's mission is to reduce transportation costs while improving customer experience through big data technologies, machine learning, and scalable distributed software.
The position involves building large-scale, fault-tolerant systems that solve complex logistics problems for Amazon's supply chain. You'll work with cross-functional teams across Seattle, Austin, and New York City, developing solutions that directly impact Amazon's worldwide logistics network, including planes, trucks, and vans.
The role combines software engineering excellence with optimization techniques and machine learning to save hundreds of millions of dollars in transportation costs. You'll be working on systems that predict delivery times, optimize inventory placement, and ensure timely order fulfillment while reducing carbon footprint.
This is an opportunity to work with big data at incredible scale, implementing mathematical modeling and simulations that have a direct impact on Amazon's operational efficiency. The team is multi-disciplined, bringing together research science, business intelligence, and software development expertise to fundamentally redesign Amazon's first-party fulfillment approach.
The ideal candidate will have strong software development experience, an understanding of distributed systems, and a passion for solving complex logistical challenges. You'll be part of a team that's revolutionizing how Amazon handles its massive logistics operations, making it more efficient and environmentally conscious.