Supply Chain Co-op/Intern 2027

Job Description

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.

Job Details

• Location: Austin, TX
• Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term.
• Duration:
  • Spring/Summer Co-op: January 25, 2027 - August 13, 2027
  • Summer/Fall Co-op: May 24, 2027 or June 21, 2027 - December 10, 2027
  • Summer: May 24, 2027 - August 12, 2027 or June 21, 2027 - September 10, 2027

What You Will Be Doing

As a Supply Chain Intern/Co-op at AMD, you will join the Supply Chain Organization and support key planning and execution teams, including Capacity Planning, Global Logistics, and PIB (Processor in a Box) Planning. You will gain hands-on exposure to end-to-end supply chain operations while working closely with cross-functional partners across the business.

In this role, you will:

• Support capacity planning, logistics visibility, and PIB planning initiatives for AMD products, including HPC and retail offerings.
• Analyze supply chain data to identify capacity constraints, risks, and improvement opportunities, and model scenarios to support short- and long-term planning.
• Assist in solving complex supply chain problems related to forecasting, inventory, throughput, and capacity alignment.
• Develop, maintain, and enhance metrics, dashboards, and leading indicators that provide clear business insights and enable data-driven decision-making.
• Partner with automation, IT, and analytics teams to streamline manual processes and improve data accuracy through digital transformation.
• Support the creation and documentation of key supply chain processes, including New Product Introduction (NPI) and End-of-Life (EOL) planning.
• Contribute to program management activities, including milestone tracking, executive updates, and alignment to quarterly business objectives.
• Collaborate cross-functionally with teams such as Customer Support, Logistics, Factory Planning, Product Planning, Sales, Finance, and Business Unit partners.
• Prepare and present actionable insights and recommendations to management using data visualization and presentation tools.
• Participate in initiatives to improve supply chain visibility, automation, and operational efficiency across the organization.

Who We Are Looking For

We are seeking motivated, analytical, and collaborative students who are eager to learn and contribute in a fast-paced, data-driven environment.

Required Qualifications:

• Currently enrolled in a U.S.-based Bachelor's or Master's degree program in:
  • Industrial Engineering
  • Supply Chain Management
  • Business Analytics
  • Information Systems
  • Business Administration / Operations
  • Or a related field
• Strong analytical and problem-solving skills.
• Advanced Microsoft Excel skills; strong PowerPoint proficiency.
• Ability to work independently while also thriving in a team-oriented, cross-functional environment.
• Strong communication skills with the ability to engage and influence stakeholders.
• Positive, proactive, and adaptable mindset with a strong desire to learn.
• Prior supply chain, logistics, or operations experience.
• Experience with Power BI, dashboards, and data visualization.
• Knowledge of SQL, DAX, VBA, or data science concepts.
• Familiarity with MRP systems, capacity modeling, or program management methodologies.
• Experience working with large datasets and automation initiatives.

This role is not eligible for visa sponsorship.