Remote Fusion 360 CAD Specialist — Parametric Design & DFM

YO AI Labs; Boston (KY); On-site; USD 55,000 - 117,000; Part time

Job summary

YO AI Labs seeks an Autodesk Fusion 360 Specialist to create and refine parametric CAD models for an AI-driven project. You will review designs, ensure GD&T compliance, and maintain manufacturing intent across processes, while documenting decisions for AI data pipelines.

The role emphasizes CAD automation, strong documentation, and collaboration with cross‑functional teams to improve AI outputs and engineering datasets.

Qualifications

• Proficient in Autodesk Fusion 360 with parametric CAD modeling.
• GD&T knowledge and practical application in design reviews.
• DFM principles across multiple manufacturing processes.
• Experience with CAD automation using Python, iLogic, NX Open, or VBA.
• Strong technical documentation and clear written/verbal communication.

Responsibilities

• Develop fully parametric 3D CAD models in Fusion 360 per design requirements.
• Edit and update CAD models while maintaining design intent and manufacturability.
• Audit CAD models for dimensional accuracy and GD&T compliance.
• Apply DFM across injection molding, sheet metal, CNC, casting/forging processes.
• Provide accurate CAD data to AI model development teams and document decisions.
• Communicate design rationale and engineering insights to cross-functional teams.
• Contribute to data quality improvements for AI-generated outputs.

Skills

Autodesk Fusion 360

Parametric CAD Modeling

GD&T

Design for Manufacturability (DFM)

Mechanical Assembly Modeling

CAD Model Auditing

Reverse Engineering

Manufacturing Processes (Injection M –

Python, iLogic, NX Open, or VBA

Technical Documentation

Written & Verbal Communication

Problem-Solving

Attention to Detail

Job description

YO AI Labs seeks an Autodesk Fusion 360 Specialist to create and refine parametric CAD models for an AI-driven project. You will review designs, ensure GD&T compliance, and maintain manufacturing intent across processes, while documenting decisions for AI data pipelines.

The role emphasizes CAD automation, strong documentation, and collaboration with cross‑functional teams to improve AI outputs and engineering datasets.