Senior Manufacturing Engineering Consultant

Job not on LinkedIn

3 hours ago

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Logo of Foundation EGI

Foundation EGI

Artificial Intelligence • SaaS • Enterprise

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

• Serve as the primary subject-matter expert on automotive assembly sequence planning, tooling, and production line setup. • Define and review product workflows and requirements for sequence planning, torque specs, tooling selection, ergonomic risks, and MTM or time study use. • Provide practical guidance on new or modified production lines, including station layout, work content, standardized work, and work instructions. • Define and review how assembly tools, fixtures, ergonomic aids, and error-proofing devices are represented and used in the software. • Write clear product specifications and user-facing documentation such as workflows, examples, and best-practice guides. • Validate that the product behavior and algorithms match real plant workflows and provide feedback from pilot use and customer discussions.

🎯 Requirements

• Must Have ten or more years of recent experience in manufacturing or industrial engineering roles within automotive OEM or Tier 1 suppliers. • 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages. • BSc or MSc in Computer Science, Engineering, or a related field. • Proficient in writing clean, modular, and maintainable Python code. • Experience with dataset creation and data pipeline development.

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