Join Amazon Robotics' Infrastructure and Operations team within the Fleet Mobility AI program to push the boundaries of AI and ML for the world's largest fleet of mobile robots. As a Software Development Engineer in AI/ML, you'll be working on operationalizing state-of-the-art Foundation Models to power Amazon's fleet of over 750,000 mobile robots. The role involves building end-to-end infrastructure and self-service tooling for Generative AI Applications, working with vast amounts of mobile robot data unique to Amazon's scale. You'll collaborate with Data Engineers, Data Scientists, and Applied Scientists to design and implement systems that enable rapid iteration on data processing, training, and evaluation of ML models. The position is part of the Amazon Robotics Research, Applied and Data Science organization, a multidisciplinary team developing novel planning algorithms, machine learning methods, and optimization techniques for robotic warehouses. You'll have the opportunity to work on challenging problems in path planning, task allocation, and scheduling while collaborating with academia and serving as an innovation hub. The role offers significant impact potential in advancing the core capabilities of Amazon's structured and autonomous mobile robots fleet.