Chief AI Architect for Autonomous Manufacturing

Xora Innovation

United States

Remote

USD 300.000 - 420.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

4MP, backed by Xora Innovation, seeks a hands‑on VP of AI to architect, code, build, and lead from the front. You will work with leadership across software, machine physics, geometry, metrology, and data infrastructure to create the intelligence layer for autonomous manufacturing.

Joining at seed stage, you will shape the technical architecture and product direction, defining how AI becomes the foundational layer of the company’s manufacturing platform.

Qualifikationen

  • Bachelor’s degree in Computer Science, Robotics, Engineering, Physics, Mathematics, or a related field.
  • 10+ years in AI, software engineering, ML architecture, robotics, or related platforms.
  • Direct experience with robotics, autonomous systems, physics‑informed ML, reinforcement learning, and digital twins.

Aufgaben

  • Build and Manage the AI Organization: build and manage the AI org while hands‑on coding and architecture.
  • Lead AI Architecture: design intelligence layers enabling autonomous manufacturing.
  • Integrate Multidisciplinary Data: define AI interaction with physics models, telemetry, sensor data, and CAM.
  • Interpret & Modify CNC Programs: extract machining intent from G-code accounting for operator variability.
  • Create Simulation Environments: define training and validation environments for scalable models.
  • Drive Strategic Cross‑Functional Leadership: shape company strategy and roadmaps.

Kenntnisse

AI architecture
Robotics
Machine learning
Leadership
Software engineering

Ausbildung

Bachelor’s degree in CS/Engineering/Math
Master’s degree a plus

Tools

Python
ML frameworks
Data pipelines

Jobbeschreibung

4MP, backed by Xora Innovation, seeks a hands‑on VP of AI to architect, code, build, and lead from the front. You will work with leadership across software, machine physics, geometry, metrology, and data infrastructure to create the intelligence layer for autonomous manufacturing.

Joining at seed stage, you will shape the technical architecture and product direction, defining how AI becomes the foundational layer of the company’s manufacturing platform.

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