Mechanical Data Engineer (Mechanical + Data Engineering Required)

1 month, 3 weeks ago
Full-time
Senior
Data Science and Analytics

Foundation EGI

Foundation EGI is an AI platform for engineering and manufacturing. It describes itself as an “Engineering General Intelligence” platform that transforms 3D designs and engineering inputs into drawings, assembly instructions, manuals, catalogs, and production plans to accelerate product development and automate engineering documentation and workflows.

Technology, Information and Internet
11-50
Founded 2023
$31M raised

Description

  • Ingest, clean, transform, and structure customer and internally generated engineering data for AI training and inference.
  • Design and build mechanical components and assemblies in CAD to serve as ground truth for evaluating and training AI systems.
  • Produce labeled datasets, reference designs, annotations, exploded views, sequences, and other engineering artifacts.
  • Apply engineering judgment to define and assess output quality across datasets and refine standards for metadata and annotation.
  • Collaborate with product managers to improve annotation, data correction, model review, and pipeline automation tooling.
  • Provide feedback on tool usability, workflow efficiency, and automation opportunities.
  • Partner with engineering and research teams to understand data requirements, failure modes, and areas needing new data.
  • Translate customer requirements, industry standards, and data schemas into actionable dataset specifications.
  • Create technical documentation and reference content that encodes engineering reasoning and real-world constraints.
  • Work with customers and external contractors to support high-quality delivery, clear communication, and adherence to SOPs.

Requirements

  • 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 such as Creo Illustrate, Adobe Illustrator, or Arbortext.
  • Ability to interpret complex mechanical assemblies, technical drawings, GD&T, and engineering documentation.
  • Experience creating exploded views, work-step sequences, repair manuals, or manufacturing instructions.
  • Strong problem-solving skills and ability to translate domain workflows into structured data requirements.
  • Excellent communication and cross-functional collaboration skills.
  • Experience with data operations, labeling workflows, ML data pipelines, or the AI/ML data lifecycle is preferred.
  • Experience in a fast-paced startup or high-growth environment is preferred.
  • Comfort with customer-facing discovery or solutioning is preferred.

Interested in this position?

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