Amazon’s global fulfillment network enables any merchant to ship items that are ordered on Amazon to any place on earth. There is a complex network of ways in which items move between vendor locations, Amazon warehouses, and customer locations as well as several intermediate locations through which packages travel before reaching the customer. With a scale of millions of packages, each with different attributes and delivery requirements, what results is a highly dense graph of nodes.
We have built a highly respected software engineering team which is focused on solving complex problems in worldwide transportation using workflows, optimization algorithms, and machine learning systems. These are large-scale distributed systems handling millions of packages being shipped through the Amazon logistics network.
As an SDE in our team, you are responsible to design flexible and scalable solutions, and work on some of the most complex challenges in large-scale computing by utilizing your skills in data structures, algorithms, and object oriented programming.
About the team
Inclusive Team Culture
We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers; someone who will help us amplify the positive & inclusive team culture we’ve been building.
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The School of Materials Science & Engineering (MSE) has 42 academic faculty, 30 research faculty and post-docs, approximately 100 visiting scholars and Tech