Summer 2027 ASIC Design Co-Op/ Intern

AMD develops advanced semiconductor technology for processors, AI, and other computing applications. The AI Agentic Flow for GPU ASIC Design Intern/Co-op will develop and apply AI-driven workflows to improve GPU ASIC design and verification, collaborating with engineering teams to build, evaluate, and optimize agentic solutions using engineering data.

What you'll do:

• 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

What they're looking for:

• 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 architecture, RTL development, hardware verification, or semiconductor design concepts
• This role is not eligible for visa sponsorship
• 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