AMD Hiring Summer 2027 ASIC Design Intern

Advance Your Career at AMD

AMD believes technology can help solve some of the world's most important challenges, from advancing healthcare and scientific discovery to powering AI. Every role contributes to technology that moves the world forward.

As an AMD intern, you will work at the center of the AI ecosystem alongside experienced experts and industry pioneers. You will do meaningful work, build new skills, grow your network, and gain real-world experience on projects that reach millions of end users worldwide. Whether you are an undergraduate or a PhD student, your work matters and this experience can launch what comes next.

Job Details

• Location: Orlando, Florida
• Onsite/Hybrid: This role requires the student to work full time onsite for the entire co-op or intern term.
• Duration: May 24, 2027 or June 21, 2027

AI Agentic Flow for GPU ASIC Design Intern/Co-op

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

What You Will Do

• Help develop AI agents that assist engineers with GPU ASIC design tasks, including specification analysis, RTL development, verification planning, debug, and documentation generation.
• Work with design, verification, and architecture teams to find engineering workflows that can be improved using large language models (LLMs), retrieval systems, and autonomous AI agents.
• Build, evaluate, and optimize agentic workflows using engineering data such as design specifications, code repositories, simulation results, and technical documentation.
• Measure AI agent effectiveness, analyze workflow improvements, and help create scalable solutions that boost engineering productivity and design quality.

What You Will Learn

• Gain hands-on experience applying AI and agentic systems to complex semiconductor engineering problems.
• Learn modern GPU ASIC design and verification workflows used in advanced semiconductor development.
• Develop practical skills 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 engineering challenges.

Who We Are Looking For

• Currently pursuing a Bachelor's, Master's, or PhD 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 or co-op.
• In your 3rd year, 4th year, or graduate 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 architecture, RTL development, hardware verification, or semiconductor design concepts.

Preferred Qualifications

• Experience building AI applications using LLMs, prompt engineering, RAG systems, vector databases, MCPs, or agent frameworks.
• Experience with Verilog, SystemVerilog, RTL design, simulation, verification, or hardware development projects.
• Knowledge of GPU architecture, parallel computing, hardware acceleration, or AI accelerator design.
• Experience analyzing large datasets, creating engineering automation solutions, or developing workflow orchestration tools.
• Participation in research projects, hackathons, open-source initiatives, or academic projects involving AI, semiconductor design, or hardware/software co-design.

This role is not eligible for visa sponsorship.