Applied Scientist- Physical AI for Manufacturing, OMHS SCS
Job ID: 10560448 | Amazon.com Services LLC - A57
As an Applied Scientist on the OMHS Software Controls and Science team, you will build and deploy first-of-its-kind physical AI capabilities within Amazon Manufacturing Services. You will turn applied research into functional prototypes and production systems that operate on real parts under real shop floor conditions. This role combines applied ML, 3D perception, and geometric reasoning with a strong manufacturing-outcome focus. It will be your job to frame ambiguous fabrication problems as tractable scientific problems, and to deploy perception and part-recognition systems on robotic welding cells that match physical parts to their CAD models and determine orientation, tooling, and fixturing without manual programming. You will own the full loop from prototype to measurable result: instrumenting robotic cells with sensors, collecting real-world manufacturing data, training and iterating models against accuracy and cycle-time targets,
and integrating your work into robot motion planning and production software pipelines. Your near-term mission is to help enable a lossless digital thread from engineering specification to autonomous robotic execution, starting with welding, in a high-mix environment scaling toward high-volume production.
Key job responsibilities
- Deploy 3D perception and part-recognition systems on robotic welding cells that match physical parts to their CAD models and determine part orientation, tooling, and fixturing without manual programming.
- Build software pipelines that connect CAD and engineering-drawing interpretation to robot motion planning and execution in a production manufacturing environment.
- Frame ambiguous fabrication problems as tractable scientific problems, and prototype solutions end to end — from sensor setup and data collection to model training, deployment, and performance evaluation.
- Evaluate, recommend, and integ
📌 Applied Scientist- Physical AI for Manufacturing, OMHS SCS (Italia)
🏢 Amazon
📍 Italia
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