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.