Data Studio Engineer - Mechanical Engineering

48 minutes ago
Full-time
Mid Level
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 internal engineering data for AI training and inference.
  • Design mechanical components and assemblies in CAD as authoritative ground truth for AI systems.
  • Create labeled datasets, annotations, reference designs, exploded views, sequences, and technical documentation.
  • Define dataset quality standards and apply engineering judgment to assess outputs.
  • Collaborate with product, engineering, and research teams to improve annotation tools, workflows, and automation.
  • Translate customer requirements, industry standards, and data schemas into actionable dataset specifications.
  • Guide customers in preparing datasets, defining schemas, and improving data pipelines.
  • Review contractor output for quality and adherence to standard operating procedures.
  • Communicate project progress, risks, and issues to support delivery timelines.

Requirements

  • Strong 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 and illustration tools such as Creo Illustrate, Adobe Illustrator, or Arbortext.
  • Ability to interpret complex assemblies, technical drawings, GD&T, and engineering documentation.
  • Experience creating exploded views, work-step sequences, repair manuals, or manufacturing instructions.
  • Knowledge of DFM considerations, material behavior, manufacturing practices, and industry standards.
  • Strong problem-solving, 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 startups or high-growth environments is preferred.
  • Customer-facing discovery or solutioning experience is preferred.

Interested in this position?

Apply directly on the company website

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