AI Infrastructure Engineer

Matter is building the AI-native autonomy stack for physical manufacturing in the United States. We operate our own factories, deploy our own software, and collect data from every stage of production — from CAD intake to finished goods.

Our platform, MatterOS, is the unified software layer for factory operations, process orchestration, and autonomy deployment. The data pipeline that feeds it — from machine telemetry on the floor to model training in the cloud — is the infrastructure you will build and own.

THE ROLE

We are hiring an AI Infrastructure Engineer to design and operate the data and compute systems that power MatterOS and our Sim2Real training pipeline. You will work across edge computing, cloud training infrastructure, and the data pipelines that make our “Smart Data” strategy real.

Your job is to ensure that every data point — from a torque sensor reading to a camera frame — is tagged with the machine ID, process state, and production context that makes it trainable.

WHY MATTER

Most AI infrastructure roles are about keeping existing systems running. At Matter, you are building the infrastructure from scratch for a category that doesn’t fully exist yet: autonomous physical manufacturing.