Applied Scientist- Physical AI for Manufacturing, OMHS SCS
Core
Build and deploy physical AI capabilities for robotic welding cells, enabling autonomous part recognition, orientation, and fixturing without manual programming.
Role type
Applied Scientist (Physical AI for Manufacturing)
Builds
Production systems for autonomous robotic execution in high-mix manufacturing environments
Domain
Manufacturing, Robotics, Computer Vision, Physical AI
Deliverable
production ML models
Required skills
Deep learning, Computer vision, Algorithms implementation, Robot deployment, Full-stack debugging (perception to control)
Preferred skills
Robotic manipulation platforms, Realtime sensor fusion (LiDAR, camera, radar), Academic publications (CVPR, ICCV, RSS, ICRA)
Technologies
LiDAR, Camera, Radar, CAD interpretation, Robot motion planning
Responsibilities
Deploy 3D perception systems on robotic welding cells; Build software pipelines connecting CAD to robot execution; Prototype end-to-end solutions for fabrication problems; Evaluate and integrate commercial robotic platforms and sensors; Instrument cells and iterate models against accuracy/cycle-time targets; Collaborate with automation and software engineering teams.
Seniority
Senior, hands-on IC
