VP of Physical AI & Autonomous Systems

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.

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.

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
• 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 over time. Every Roboze machine autonomously determines how to produce each part. Create Roboze’s proprietary Process Intelligence Operating System (PIOS)

Extend intelligence beyond the machine:

• Predictive maintenance models
• Scrap reduction AI
• Qualification acceleration tools
• AI-based digital twins for simulation before and during printing
• Connect Roboze machines with AGVs and robotic solutions to orchestrate end-to-end automated factory workflows, enabling 24/7 autonomous production.

Goal:
Create Roboze’s proprietary Factory Intelligence Operating System (FIOS)

• Architect centralized data infrastructure across:
  Machine sensor data, Material behavior data, Qualification workflows and Failure modes
• Develop proprietary datasets
• Protect and structure process knowledge as a defensible asset
• Collaborate with materials and qualification teams

Goal:
Create Roboze’s proprietary Data Intelligence Operating System (DIOS)

• Autonomous parameter optimization live on all new systems
• 15–25% yield improvement via AI
• Reduced sales cycle via AI-driven qualification tools
• Recurring AI software revenue layer
• Proprietary dataset unmatched in high-performance polymer AM

• Define and execute Roboze’s Physical AI roadmap
• Build and lead cross-functional AI team (ML + Controls + Embedded + Data)
• Partner with Materials, Hardware, and Applications teams
• Drive AI monetization strategy
• Oversee AI governance, IP protection, and data strategy

• A strong communicator who enjoys working directly with customers and guiding complex technical discussions.
• A strategic thinker with a hands-on engineering mindset, capable of turning customer challenges into real applications.
• Comfortable working cross-functionally with Business Development, Sales, Marketing, and Production teams.
• Proactive, organized, and autonomous in managing tasks and priorities.
• Experienced in, or motivated to grow within, Aerospace, Defense, or advanced materials environments.

• 10+ years in AI/ML applied to physical systems
• Experience in robotics, aerospace systems, semiconductor manufacturing, or advanced industrial automation
• Deep understanding of:
  Control systems, Sensor fusion, Physics-informed ML and Real-time optimization
• Experience with, Industrial…