VP of Physical AI & Autonomous Systems

Job Description

Roboze is redefining how mission-critical parts are made, locally, on demand, and without compromise. Our advanced materials and additive manufacturing platforms are trusted by top Aerospace & Defense organizations around the world. From Europe’s leading primes to major U.S. defense contractors, we help engineers move faster, build stronger, and achieve performance that traditional manufacturing cannot match. We are not following the old rules of manufacturing. We are rewriting them. And now, from our growing hub in El Segundo, California, we are expanding the team. Why This Role Matters Build Roboze’s Physical AI layer, transforming our machines from advanced manufacturing systems into self-optimizing, autonomous production platforms. This role is responsible for creating: Autonomous process intelligence inside Roboze machines AI-powered factory optimization for customers A long-term proprietary data ecosystem across materials, parameters, and qualification workflows This is not a software AI role. This is AI applied to physics, materials, and real-world production systems. Reports to: CEO Team Scope: AI/ML, Controls, Data Engineering, Simulation, Embedded System Strategic Mandate: 1. Autonomous Process Intelligence (Machine-Level AI) Make Roboze systems self-learning and self-optimizing. Develop AI models that optimize process parameters (temperature, pressure, speed, cooling curves, etc.) Real-time defect detection and closed-loop correction using in-situ monitoring and dynamic process parameter adjustment. Adaptive parameter tuning for new geometries and materials Reduce operator dependency Increase first-time-right rate Improve gross margins through yield optimization Implement assisted algorithms for converting metal part designs into additive composite-ready build files Goal:Every Roboze machine improves