Product Engineer Intern - DRAM Technology - Node Development

## As a Product Engineer Intern in the DRAM Technology Node Development group, you will work alongside experienced engineers to support the development of next-generation DRAM products. You will gain hands-on experience in product characterization, test development, yield analysis, and design validation while applying analytical and problem-solving skills to real-world engineering challenges. ## Responsibilities - Support new DRAM product development through electrical characterization, test development, circuit analysis, and design validation activities. - Analyze product, test, and yield data to identify performance issues and drive continuous improvement initiatives. - Collaborate with process, design, manufacturing, and test engineering teams to investigate and resolve product and process-related issues. - Develop and improve test methodologies, automation scripts, and data analysis tools to enhance product quality and testing efficiency. - Apply engineering tools, statistical analysis techniques, and AI-enabled technologies to support product characterization and failure analysis. ## Minimum Qualifications - 0-2 years of relevant experience through internships, research, academic projects, laboratory work, or industry experience in electrical or computer engineering. - Currently pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field and returning to school following the internship. - Knowledge of semiconductor devices, digital circuits, computer architecture, or memory systems gained through coursework or project experience. - Experience with programming or scripting languages such as Python, C++, MATLAB, Verilog, or similar technical tools. - Strong analytical, problem-solving, written communication, and teamwork skills. - Basic understanding of Agentic AI tools and Large Language Models (LLMs), including platforms such as Copilot, Claude, or similar technologies. ## Preferred Qualifications - Previous internship, co-op, research, or project experience in semiconductor, product, test, design, or process engineering. - Experience with data analysis, statistical methods, and engineering software tools used for characterization or yield improvement. - Familiarity with semiconductor manufacturing processes, DRAM technology, failure analysis, or product validation. - Experience developing automation solutions, scripts, or data-driven workflows. - Demonstrated leadership through student organizations, research projects, academic teams, or extracurricular activities.