About the role
Responsibilities Work with machine learning applied to real engineering problems using 2D and 3D data from CAD, CAE, and CAM systems Turn complex geometry, design workflows, and simulation data into formats suitable for AI systems Bridge the gap between advanced models and practical engineering workflows Requirements Must have experience with Code Development, Computational Design, and/or Geometry Processing Strong technical skills in Python and Machine Learning Ability to move between theory and practical application Experience with mechanical systems or engineering design is a plus About the Company An MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.