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

AMD; Singapore; On-site; SGD 13,000 - 20,000; Full time

Benefits offered by this job

AMD benefits

Job summary

AMD Singapore invites students to join as an AI-Driven BOM Internship, gaining hands-on experience in automating BOM management for MPU and GPU lines while supporting Server, Client, Desktop, and Data Center products.

You will build AI applications using LLMs, RAG, and RPA, collaborate across Product Engineering, Design, Packaging, and Supply Chain, and learn data governance and lifecycle management under mentors.

Qualifications

• Pursuing a bachelor’s or master’s degree in data science or computer science.
• Strong coding and data processing skills in Python/SQL.
• Interest in AI, machine learning, and automation.
• Collaborative, proactive, and fast learner.

Responsibilities

• Develop AI-driven BOM automation solutions.
• Collaborate with cross-functional teams across product lines.
• Design Internal Copilot PDM agent integrating PLM requests and BOM dashboards.
• Support BOM creation and release activities.

Skills

Python

SQL

Java

C/C++

LLMs

RAG

AI Agents

Education

Bachelor’s or Master’s in Data Science or CS

Tools

OpenAI API

Azure AI Services

Microsoft Copilot

Power BI

Streamlit

Git

RPA

Job description

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.

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

Benefits

Benefits offered are described: AMD benefits at a glance.

Equal Opportunity

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.

AI Screening

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

Posting Status

This posting is for an existing vacancy.