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

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

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.