Sr. Software Development Engineer, FAR (Frontier AI & Robotics)

Join Amazon's Frontier AI & Robotics team, a cutting-edge division led by renowned AI pioneers Pieter Abbeel, Rocky Duan, and Peter Chen. As a Senior Machine Learning Engineer, you'll be at the forefront of transforming robotics research into production-scale systems. The role combines deep technical optimization work with strategic architectural decisions, focusing on making breakthrough foundation models operational at Amazon's massive scale.

The team is reimagining robotics from the ground up, developing sophisticated perception systems and adaptive manipulation strategies for real-world scenarios. You'll work with state-of-the-art foundation models, leveraging Amazon's extensive computational infrastructure and rich datasets. Your expertise in CUDA, TensorRT, and ML optimization will be crucial in achieving unprecedented inference efficiency.

Key responsibilities include optimizing large-scale transformer architectures, implementing efficient compilation pipelines, and ensuring reliable model serving at scale. You'll collaborate directly with scientists, balancing research innovation with practical implementation, and work on everything from custom CUDA kernels to comprehensive monitoring systems.

The position offers competitive compensation ($151,300-$261,500/year base pay), equity, and comprehensive benefits. This is an opportunity to work with world-class researchers while seeing your innovations deployed at unprecedented scale. The role is perfect for someone who combines strong technical skills with a passion for pushing the boundaries of what's possible in robotics and AI.

Join a team that's not just advancing robotics but reimagining its future, working on systems that scale from laboratory concepts to Amazon's global operations. Your work will directly impact the next generation of intelligent robotics, making this an exciting opportunity for those passionate about AI, robotics, and large-scale system optimization.