Job Description
Data Creation, Processing & Quality:
- Ingest, clean, transform, and structure customer and internally generated engineering data for AI training and inference.
- Design and build high-quality mechanical components and assemblies in CAD.
- Apply engineering judgment to define and assess output quality across datasets.
Workflow & Tooling Contributions:
- Collaborate with Product Managers to shape tooling used for annotation, data correction, model-output review, and pipeline automation.
- Help develop scalable, repeatable data processes that improve throughput and data consistency.
Cross-Functional Collaboration:
- Partner closely with engineering and research teams to understand model data requirements.
- Influence model behavior by supplying representative engineering examples and ground-truth mechanical designs.
- Serve as a subject matter expert on mechanical engineering formats, CAD standards, manufacturing practices, and design artifacts.
About Foundation EGI
Foundation EGI is an MIT-born, venture-backed Silicon Valley startup building Engineering General Intelligence (EGI)—an AI Copilot for design and manufacturing.