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Vinci is seeking a Procedural Data Generation Engineer to join their data generation team, building systems that produce synthetic data for training and evaluating physics AI models for hardware design. This deep technical role combines computational geometry, physics simulation, and machine learning. The ideal candidate will have strong Python software engineering skills and hands-on experience with programmatic/parametric geometry to create diverse, physically plausible hardware-like geometries and simulation setups. Your work will be crucial to the company's success, directly impacting model quality and contributing to the frontier of AI in a fast-growing startup.