below marketmost similar roles pay hereabove market
This role pays less than
86%
of similar roles. Most pay
$114,400–$214,000
— the blue band above.
At the midpoint, this role pays about
$100k
versus about
$164k
for comparable roles.
Based on 240 similar postings.
Employer
About Amd
AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors
Amd currently has
510 open roles
on FindRole.
Listed pay typically runs
$172,000–$258,000
across 510 roles with salary data.
The Summer 2027 ASIC Design Co-Op/ Intern will join the team to develop and apply AI-driven agentic workflows that improve the efficiency, quality, and automation of GPU ASIC design and verification processes. The intern will build AI agents to assist engineers with specification analysis, RTL development, verification planning, debug, and documentation generation. Key responsibilities include identifying workflows for enhancement using large language models, retrieval systems, and autonomous AI agents while measuring agent effectiveness and analyzing workflow improvements. The role requires proficiency in Python, data structures, algorithm design, and Linux environments. Candidates should possess knowledge of machine learning, RAG systems, and digital logic design. This position addresses the technical challenge of integrating AI into complex semiconductor engineering workflows to improve engineering productivity and design quality for GPU architectures.
Develop AI agents to assist engineers with specification analysis, RTL development, and verification planning.
Identify engineering workflows that can be enhanced using large language models and autonomous AI agents.
Build, evaluate, and optimize agentic workflows using design specifications, code repositories, and simulation results.
Measure AI agent effectiveness and analyze improvements in engineering productivity and design quality.
Create scalable solutions to automate GPU ASIC design and verification processes.
Integrate retrieval systems and engineering data sources into AI-driven automation pipelines.
What we're looking for
Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Engineering, Electrical Engineering, Computer Science, AI, Data Science, or a related technical field.
Must have at least one year of coursework remaining after the internship or co-op term.
Must be in 3rd year, 4th year, or graduate-level studies with coursework in computer architecture, digital design, machine learning, AI, 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.
Experience building AI applications using LLMs, prompt engineering, RAG systems, vector databases, MCPs, or agent frameworks (preferred).