Singapore Role overview
About this role
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.
KEY RESPONSIBILITIES:
- 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 Python/SQL and data processing. He should be proactive, capable of learning new technologies quickly and collaborate effectively with cross-functional teams. Experience with AI, machine learning, LLMs, or automation projects is highly desirable.
RELEVANT SKILLSETS:
- Programming Languages: Python, SQL, Java, C/C++
- AI/Data Science Skills: Machine Learning, LLMs, Retrieval-Augmented Generation (RAG), Prompt Engineering, Generative AI, Data Cleaning, Predictive Analytics, NLP, Deep Learning, AI Agents
- AI Frameworks & Tools: OpenAI API, Azure AI Services, Microsoft Copilot, Power BI, Streamlit, Git, RPA
- Data & Enterprise Systems: Experience with any of the following will be an added advantage - PLM systems, Enterprise Resource Planning (ERP) systems, Structured and unstructured data, SQL cloud databases, REST APIs, Data visualization and reporting platforms.
ACADEMIC CREDENTIALS:
- Candidates pursuing a bachelor’s or master’s degree in data science or computer science
#LI-SP
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
Qualifications
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
Responsibilities
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.
KEY RESPONSIBILITIES:
- 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 Python/SQL and data processing. He should be proactive, capable of learning new technologies quickly and collaborate effectively with cross-functional teams. Experience with AI, machine learning, LLMs, or automation projects is highly desirable.
RELEVANT SKILLSETS:
- Programming Languages: Python, SQL, Java, C/C++
- AI/Data Science Skills: Machine Learning, LLMs, Retrieval-Augmented Generation (RAG), Prompt Engineering, Generative AI, Data Cleaning, Predictive Analytics, NLP, Deep Learning, AI Agents
- AI Frameworks & Tools: OpenAI API, Azure AI Services, Microsoft Copilot, Power BI, Streamlit, Git, RPA
- Data & Enterprise Systems: Experience with any of the following will be an added advantage - PLM systems, Enterprise Resource Planning (ERP) systems, Structured and unstructured data, SQL cloud databases, REST APIs, Data visualization and reporting platforms.
ACADEMIC CREDENTIALS:
- Candidates pursuing a bachelor’s or master’s degree in data science or computer science
#LI-SP
6 locations in United States