Summer ASIC Design CoOp 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 , 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:
  Orlando, Florida
• Onsite/Hybrid: This role requires the student to work full time onsite throughout the duration of the co-op/intern term.
• Duration: May 24, 2027 or June 21, 2027

We are seeking a highly motivated AI Agentic Flow for GPU ASIC Design Intern/Co-op to join our team. In this role, you will help develop and apply AI-driven agentic workflows that improve the efficiency, quality, and automation of GPU ASIC design and verification processes.

• We will involve you in developing AI agents that assist engineers with GPU ASIC design activities, including specification analysis, RTL development, verification planning, debug, and documentation generation.
• You will work with design, verification, and architecture teams to identify engineering workflows that can be enhanced through large language models (LLMs), retrieval systems, and autonomous AI agents.
• We will assign you projects to build, evaluate, and optimize agentic workflows that leverage engineering data sources such as design specifications, code repositories, simulation results, and technical documentation.
• Your responsibilities will include measuring AI agent effectiveness, analyzing workflow improvements, and helping create scalable solutions that improve engineering productivity and design quality.

• Gain hands‑on experience applying AI and agentic systems to complex semiconductor engineering challenges.
• Learn modern GPU ASIC design and verification workflows used in advanced semiconductor development.
• Develop practical experience with large language models, AI agent frameworks, retrieval‑augmented generation (RAG), automation pipelines, and engineering productivity tools.
• Work alongside experienced GPU architects, design engineers, verification engineers, and AI researchers on real‑world engineering problems.

• Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, Data Science, or a related technical field, with at least one year of coursework remaining after the internship/co-op.
• You are in your 3rd year, 4th year, or graduate-level studies with coursework in computer architecture, digital design, machine learning, artificial intelligence, or software engineering.
• Experience programming in Python and familiarity with software development practices, data structures, and algorithm design.
• Understanding of machine learning concepts, large language models, agentic AI systems, or AI application development through coursework, research, or personal projects.
• Familiarity with Linux environments, scripting, data analysis, or automation tools.
• Exposure to digital logic design, computer…