Automation of PDM processes Intern

Location

Singapore

Eligibility

Current students studying at universities based in Singapore.

Internship Details

Internship duration begins on one of the following start dates: 4 May 2026 or 20 July 2026, and ends on 4 December 2026. There is an option to extend the internship, with the extended period concluding on 18 December 2026.

Role

Intern – Automation of PDM processes

What You Can Expect to Learn

As a Co-op/Intern, you will gain hands-on experience and contribute to AMD's next generation of technology innovations. You will have opportunities to develop your career, connect with AMD leaders, receive one-on-one mentorship, attend networking events, and more. The Product Data Management (PDM) team processes manufacturing bills of materials (BOM), enables systems to support disruptive technology products, establishes Master Data principles and guidelines, and drives business process improvements through automation. PDM interfaces with multiple teams including Business Units, Supply Chain, Finance, Sales, Logistics, Product Engineering, Procurement, Packaging, Design, Test, Agile IT, Product Management, Fab Technology Operations, OSATs, and others. Your contributions will span multiple PDM areas with significant deliverables to help achieve product goals.

Project Overview

Create a model to enhance BOM processes.

Key Responsibilities

• Manage Bill of Material (BOM) records throughout the full product lifecycle for microprocessors and graphics processors.
• Drive data quality and automation efforts by leveraging RPA and AI technologies.
• Collaborate with product data owners and cross-functional teams to ensure high-quality data in PLM systems for complex semiconductor products.
• Contribute to process-improvement initiatives aimed at enhancing data quality, reducing costs, and improving cycle times.

Who We Are Looking For

• A self-motivated individual with attention to detail, capable of handling a steep learning curve, and resourceful in exploring new technologies.
• Data analytics/visualization and business process optimization skills.
• Ability to thrive in a fast-paced environment with strong problem-solving and communication skills.
• Willingness to learn about the manufacturing process.
• Effective time management and multitasking abilities.

Relevant Skillsets

• Training will be provided on Product Data Management (PDM) processes and PLM.
• Programming/Query Languages: SQL.
• Software & Tools: Atlassian Suite (Confluence, Jira); Microsoft Office Suite (Visio, PowerPoint, Excel); PLM/PDM systems (Agile PLM, Teamcenter, Windchill, Arena, Enovia).

Academic Credentials

Degree in Computer Science; Business Analytics and Data Science.

Note: Please ensure that you can provide a placement/support letter from your school covering the entire internship period.

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