Intern – Memory Systems Architecture & AI

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The DRAM Systems & Architecture Lab researches next-generation memory architectures that enable future AI, machine learning, and high-performance computing systems. The team explores innovative memory technologies, system architectures, and hardware-software co-design approaches to improve performance, scalability, and efficiency for emerging AI workloads. As a Research Intern in the DRAM Systems & Architecture Lab, you will conduct research focused on next-generation memory systems for AI accelerators. You will investigate tiered memory architectures, analyze AI workload behavior, develop experimental prototypes, and evaluate architectural innovations across hardware, software, and system-level environments. This role offers the opportunity to contribute to research that may influence future product roadmaps, publications, and advanced memory system designs. Responsibilities Research and evaluate tiered memory architectures designed to improve performance and scalability for AI inference and large language model workloads. Develop experimental methodologies, models, simulations, and prototypes to analyze memory system performance, data movement, and workload behavior. Investigate memory hierarchy optimizations, data placement strategies, cache management, and memory migration mechanisms across AI computing systems. Perform quantitative analysis using hardware platforms, simulation environments, and FPGA-based prototypes to evaluate architectural trade-offs. Document research findings, present technical results, and collaborate with architecture teams to contribute to future technology strategies and research initiatives. Minimum Qualifications 0-2 years of relevant experience through PhD research, publications, internships, academic projects, or experimental systems research in computer architecture, memory systems, AI accelerators, or high-performance computing. Currently pursuing a PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field. Strong understanding of computer architecture, memory hierarchy design, and system performance analysis. Experience with systems programming using C++, Python, or similar programming languages. Familiarity with performance modeling, simulation, profiling, benchmarking, or experimental system evaluation methodologies. Strong analytical, problem-solving, and technical communication skills. Experience using AI-enabled tools and large language models (LLMs), such as Claude, Copilot, or similar technologies to support research, development, or engineering workflows. Ability to work independently while collaborating effectively within a research-focused team environment. Preferred Qualifications Research experience in memory systems, AI accelerators, GPUs, large-scale inference systems, or high-performance computing architectures. Experience developing architectural simulators, analytical models, workload characterization frameworks, or system performance evaluation tools. Familiarity with AI inference workloads, large language models, KV cache management, Mixture-of-Experts (MoE) architectures, or memory-centric AI system design. Experience with FPGA development, RTL design, High-Level Synthesis (HLS), or hardware prototyping platforms. Peer-reviewed publications, conference presentations, patents, or other demonstrated research contributions in computer architecture or systems research. Experience working across hardware, software, and runtime layers to evaluate end-to-end system performance and optimization opportunities. Demonstrated curiosity, initiative, adaptability, and passion for research and emerging technologies. The US base salary range that Micron Technology estimates it could pay for this full-time position is: $49.85 - $49.85 an hour Additional compensation may include benefits, bonuses and equity. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. 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