AI-Driven Design Algorithm Engineer (AI-Enhanced Design / AIED)

Amphenol Interconnect Products in; Village of Endicott (NY); On-site; USD 45,000 - 89,000; Full time

Job summary

Amphenol AssembleTech Co., Ltd. (AST) Design and Manufacturing Center in Xiamen, P.R. China, seeks an AI-Driven Design Algorithm Engineer (AI-Enhanced Design / AIED) to join the team.

The role focuses on bridging CAD/CAE, AI, and industrial workflows to optimize design generation and validation. Relocation to Xiamen is required. Candidates should bring CAD/CAE expertise, AI experience in engineering, and strong collaboration skills to drive fast, reliable design iterations across multiple

Qualifications

• Proficient in CAD/CAE concepts and workflows.
• Hands-on AI for CAD/CAE projects.
• Experience deploying AI models in industrial engineering workflows.

Responsibilities

• End-to-End Process Automation: automate design-feedback-optimization pipeline.
• Develop MCP tools by extracting engineering domain knowledge for AI agents.
• Advance Generative 3D design and topology optimization to meet SI criteria.
• Drive modeling engines for parameter-driven generation on CAD platforms.

Skills

Python

ML algorithms

Problem solving

Learning agility

Communication skills

Collaboration

Education

Bachelor's degree

Tools

Creo/ProE

SolidWorks

FreeCAD

Job description

AI-Driven Design Algorithm Engineer (AI-Enhanced Design / AIED) (Finance)

THIS ROLE REQUIRES RELOCATION TO XIAMEN, P.R. CHINA.

Amphenol AssembleTech Co., Ltd. (AST) Design and Manufacturing Center supports customers worldwide with a broad range of electronic interconnect products, including cable assemblies, wire harnesses, and high-speed connectivity solutions. AST serves a variety of industries, including Datacom, Consumer Electronics, Telecom, Infotainment, Embedded Computing, and Green Energy. Headquartered in Xiamen, P.R. China, with additional operations in China, Vietnam, and Texas, AST is a division of Amphenol Corporation, a Fortune 500 company with more than 90 years of experience enabling the ongoing electronics revolution.

We are currently looking for an AI-Driven Design Algorithm Engineer (AI-Enhanced Design / AIED) to join our team.

Key Responsibilities

• End-to-End Process Automation: Bridge the closed-loop workflow from 3D structural generation through physical simulation and validation, establishing a fully automated and iterative "design-feedback-optimization" pipeline.
• MCP & Skill Development/Integration: Extract and abstract engineering domain knowledge, including Computer-Aided Design (CAD) workflows and electromagnetic simulation/testing experience, to develop Model Context Protocol (MCP) tools or specialized skills for AI agents and integrate them into targeted functionalities.
• Generative 3D Design Development: Utilize diverse methodologies, including end-to-end modeling and pre-training and fine-tuning paradigms, to perform structural topology optimization and explore innovative architectural designs that satisfy stringent signal integrity (SI) performance criteria.
• Intelligent Modeling Engine: Drive advanced secondary development based on mainstream CAD platforms, such as Creo/ProE and SolidWorks, or open-source 3D modeling frameworks, such as FreeCAD, to deliver parameter-driven generation and rapid optimization loops for complex structures.

Qualifications

• Proficient in Mandarin.
• Bachelor's degree or above in Mechanical Engineering, Automation, Computer Graphics, or a closely related discipline.
• Solid understanding and foundational background in Computer-Aided Design (CAD) and Computer-Aided Engineering (CAE).
• Hands-on experience in AI for CAD/CAE projects.
• Prior experience deploying AI models into industrial engineering workflows, such as fluid dynamics (CFD), structural mechanics, or electromagnetic (EM) simulations.

Preferred Experience

• Experience with Generative Design projects, particularly using Generative AI (GenAI) for engineering design optimization.

Skills

• Familiarity with standard machine learning algorithms.
• Proficiency in Python.
• Strong logical thinking and problem-solving abilities.
• Ability to quickly learn and adapt to new technologies and concepts.
• Strong collaborative and communication skills.