Introduction IBM Research Scientists are charting the future of Artificial Intelligence, creating breakthroughs in quantum computing, discovering how blockchain will reshape the enterprise, and much more. Join a team that is dedicated to applying science to some of today's most complex challenges, whether it's discovering a new way for doctors to help patients, teaming with environmentalists to clean up our waterways or enabling retailers to personalize customer service. Your Role and Responsibilities This is for a 2025 summer internship with the following start dates: May - August or June - September for quarter system schools. Work with a team of world-class researchers to design and implement compiler optimizations for AI accelerators targeting state-of-the-art LLMs (large language models). Develop compiler software for design space exploration to map AI applications to AI accelerators. * Engage with other researchers to debate and discuss merits of existing and proposed compiler optimizations for AI accelerators. * Prepare internal reports and presentations to summarize progress/blockers. * Perform research and propose new concepts in compilers to exercise the computer architecture features. * Implement the compiler optimizations to generate programs that exercise the computer architecture features. * Evaluate the performance benefits using the software simulators across different use-cases and determine the hardware and software bottlenecks to improve performance. * Performa cost-benefit analysis using the cost models and the simulator performance and propose changes to the hardware and software to improve the trade-offs. Required Technical and Professional Expertise * Applicants should be PhD & MS students pursuing graduate studies. * Strong software engineering background, and * Proficiency in C, C++ and Python programming, * Proficiency in state-of-the-art deep-learning models (example large-language models for Generative AI applications). * Strong background in AI accelerators architecture and compilers. Preferred Technical and Professional Expertise * Strong software engineering background, and * Proficiency in C, C++ and Python programming,