Are you excited about building the infrastructure that powers the next generation of robotics? The Infrastructure for Simulation and Science (ISS) team within Amazon Robotics is looking for a Software Development Engineer II to design and build scalable simulation platforms, ML training pipelines, and data infrastructure that accelerate robotics R&D.
You"ll work at the intersection of cloud infrastructure, simulation, and machine learning - building systems that enable science teams to train and evaluate robot policies at scale. Your work will directly support multiple robotics programs and have a multiplier effect across the organization.
Key job responsibilities
A day in the life
You might start the morning reviewing a deployment for a new data pipeline that streams teleoperation data into training workflows. After standup, you pair with a science team member to debug a distributed training job running on GPU clusters. In the afternoon, you work on automating a manual operational process that"s been eating into the team"s time, then wrap up with a code review for a teammate"s infrastructure improvement. Your customers are internal robotics science and software teams, and the problems you solve help them iterate faster on robot learning.
About the team
The ISS team provides the simulation and ML infrastructure backbone for Amazon Robotics R&D. We build the platforms that science teams use to train robot policies, run large-scale simulations, and bridge the gap between simulated and real-world environments. Our work spans cloud infrastructure (AWS, EKS, Kubernetes), simulation platforms (NVIDIA Isaac Sim), ML tooling (Metaflow, Ray, Weights & Biases), and data systems. We"re a collaborative, geographically distributed team that values ownership, operational excellence, and building things that scale. We care about reducing toil, enabling self-service, and making scientists more productive.