Relocation: AI-Driven CAD & SI Optimization Engineer

Amphenol Interconnect Products; Village of Endicott (NY); On-site; USD 89,000 - 134,000; Full time

Job summary

Amphenol AssembleTech Co., Ltd. (AST) Design and Manufacturing Center seeks an AI-Driven Design Algorithm Engineer to automate design workflows from 3D generation to validation.

You will extract domain knowledge to build MCP tools and integrate AI agents, and you will push generative design for complex structures meeting signal integrity targets. The role focuses on intelligent modeling across Creo/ProE, SolidWorks, or FreeCAD platforms, enabling rapid optimization loops and parameter-driven

Qualifications

• Proficiency in Mandarin and strong CAD/CAE foundation.
• Hands-on experience applying AI to CAD/CAE projects.
• Experience deploying AI in industrial workflows (CFD, structural, EM).
• Preferred: Generative Design with GenAI for optimization.
• Familiarity with common ML algorithms.

Responsibilities

• End-to-End Process Automation: bridge design to validation in an automated pipeline.
• Extract and integrate engineering knowledge into MCP tools and AI agent capabilities.
• Develop generative 3D design methods for topology optimization and SI goals.
• Drive secondary development on CAD platforms to enable parameter-driven generation and rapid optimization.

Skills

Mandarin

Python

Problem solving

Collaboration

Learning agility

Communication

Education

Bachelor's degree in Mechanical Engineering / Automation / Computer Graphics

Tools

Creo/ProE

SolidWorks

FreeCAD

Job description

Amphenol AssembleTech Co., Ltd. (AST) Design and Manufacturing Center seeks an AI-Driven Design Algorithm Engineer to automate design workflows from 3D generation to validation.

You will extract domain knowledge to build MCP tools and integrate AI agents, and you will push generative design for complex structures meeting signal integrity targets. The role focuses on intelligent modeling across Creo/ProE, SolidWorks, or FreeCAD platforms, enabling rapid optimization loops and parameter-driven