Mechanical Data Engineer – Mechanical, Data Engineering

🔥 12 hours ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🧑‍🔧 Mechanical Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Foundation EGI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

Foundation EGI is an AI-driven platform that automates the generation of engineering documentation from 3D CAD data. The company converts assemblies into 2D/3D parts catalogs, GD&T technical drawings, optimized assembly sequences, and multilingual operator/service manuals, aiming to reduce manual drafting and speed product development for manufacturing and engineering teams. Foundation EGI positions itself as an enterprise SaaS solution that brings machine learning and computational design into industrial workflows to improve accuracy, traceability, and time-to-production.

📋 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 as authoritative ground truth for evaluating and training AI systems • Produce labeled datasets, reference designs, annotations, exploded views, sequences, and other engineering artifacts • Define and assess output quality across datasets and maintain standards for metadata, annotation, and model quality • Collaborate with Product Managers on annotation, data correction, model-output review, and pipeline automation tooling • Provide feedback on tool usability, workflow efficiency, and automation opportunities • Develop scalable, repeatable data processes that improve throughput and data consistency • Partner with engineering and research teams to understand model data requirements and failure modes • Supply representative engineering examples and ground-truth mechanical designs to influence model behavior • Translate domain requirements, industry standards, and customer data schemas into actionable dataset specifications • Serve as a subject matter expert on mechanical engineering formats, CAD standards, manufacturing practices, and design artifacts • Generate technical documentation, exploded views, sequences, and annotations encoding engineering reasoning into training data • Ensure datasets reflect real-world constraints, DFM considerations, material behavior, and industry best practices • Work with customers to understand data sources, schemas, formats, and quality expectations • Guide customers in preparing datasets, defining structured schemas, and improving data pipelines • Communicate progress clearly, surface risks early, and review external contractors for quality and SOP adherence

🎯 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 (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 • Excellent communication and cross-functional collaboration skills • Experience with data operations, labeling workflows, ML data pipelines, or AI/ML data lifecycle (preferred) • Experience in fast-paced startup or high-growth environments (preferred) • Comfort with customer-facing discovery or solutioning (preferred)