The EGI platform from the Foundation is designed to speed up all phases of the product development cycle, from design and research to production and documentation, enabling engineers to create better products more quickly and effectively. Backed by Purple Arch Ventures.
About the role
As an Individual Contributor on the Data Studio team, you will play a key role in transforming raw customer data into structured, high-fidelity datasets that power model training, evaluation, and customer delivery. This role is deeply hands-on and sits at the intersection of product, research, and engineering. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Strong domain expertise in mechanical engineering, manufacturing design, or industrial workflows
- Hands-on experience with CAD tools such as SolidWorks, CATIA, Siemens NX, or Creo
- Familiarity with annotation tools and illustration software (e.g., Creo Illustrate, Adobe Illustrator, Arbortext)
- Ability to interpret complex mechanical assemblies, technical drawings, GD&T, and engineering documentation
- Experience creating artifacts like exploded views, work-step sequences, repair manuals, or manufacturing instructions
- Strong problem-solving skills and the ability to translate domain workflows into structured data requirements
More about this role
We are an MIT-born, venture-backed Silicon Valley startup building Engineering General Intelligence (EGI)—an AI Copilot for design and manufacturing. Our mission is to fundamentally reinvent how physical products are designed and built, dramatically accelerating the pace of product development.
As an Individual Contributor on the Data Studio team, you will play a key role in transforming raw customer data into structured, high-fidelity datasets that power model training, evaluation, and customer delivery. This role is deeply hands-on and sits at the intersection of product, research, and engineering. You will apply your mechanical engineering and manufacturing expertise to create data pipelines, labeling workflows, reference models, and quality checks that ensure the accuracy and reliability of our AI systems. Mechanical engineering or manufacturing design experience is essential; candidates without this background will not be considered.
- 1. 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 to...
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