AI-Driven Bill of Materials (BOM) Generation and Management Intern

ADVANCE YOUR CAREER. ADVANCE THE WORLD.  At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.    Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career. As an AMD [intern/co-op] , you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next.   LOCATION:  Singapore  CRITERIA:  Current students studying in Universities which are based in Singapore  INTERNSHIP DURATION: The internship will begin on either 4 Jan 2027, and will end on 28 May 2027. There is an option to extend the internship, with the extended period concluding on a fixed date of 6 Aug 2027.   Intern- AI-Driven Bill of Materials (BOM) Generation and Management   WHAT YOU CAN EXPECT TO LEARN: As a Product Data Management (PDM) Intern, you will gain hands-on experience in developing AI-driven solutions to automate Bill of Materials (BOM) management for AMD's MPU and GPU product lines. You will work with real-world semiconductor product data supporting Server, Client, Desktop, Embedded, Gaming, and Data Center products, to improve data quality, operational efficiency, and product release readiness. Throughout the internship, you will collaborate with cross-functional teams—including Product Engineering, Design, Packaging, Test, Supply Chain, Procurement, Finance, and Business Unit to apply AI in enhancing engineering workflows and business operations. You will have the opportunity to – i) Develop AI-powered automation solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and Robotic Process Automation (RPA), ii) Gain practical experience in PDM, Master Data governance, and intelligent process automation. iii) Build and deploy AI applications that improve BOM creation, validation, and lifecycle management. iv) Receive mentorship from experienced technical leaders in AI, data science, automation, and semiconductor product lifecycle management.   PROJECT OVERVIEW: The project focuses on designing and developing a unified AI platform that combines: Enterprise Knowledge Management, Business Intelligence and automated BOM Execution. The platform will provide conversational AI capabilities in creating, validating, maintaining, and releasing BOMs for AMD’s complex MPU/GPU products.

Develop AI-driven solutions to automate repetitive engineering tasks associated with BOM creation, validation, and release to improve product data quality while reducing manual effort and release cycle times. Collaborate with cross-functional stakeholders from multiple product lines to implement intelligent BOM automation solutions. Design and develop Internal Copilot PDM agent, integrating Product Lifecyle Management (PLM) requests, BOM reporting, data dictionary, PDM dashboards, and Confluence documentation. Support BOM creation and release activities in production/engineering life cycles for AMD's MPU and GPU product portfolios   WHO ARE WE LOOKING FOR: We are seeking highly self-driven students who are passionate about Artificial Intelligence, data engineering, and process automation. The ideal candidate should have strong analytical and problem-solving skills for applying AI to solve real-world engineering challenges, and programming skills, particularly in