Intern - Memory & System Architecture Research

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. Our Cloud Memory Business Unit defines and incubates next-generation memory and system architectures for datacenter and AI workloads. In this internship you will help develop and validate a first-principles system-modeling capability that evaluates memory-centric architectures across rack-scale AI platforms — quantifying tradeoffs before committing to silicon or full software implementations. We are seeking a Memory & System Architecture Research Intern with a strong computer-architecture and systems-modeling background to characterize AI workloads and help build and validate performance models for advanced memory systems. You will translate AI workload trends into memory capacity, bandwidth, and latency requirements, and quantify architectural tradeoffs to inform long-term technology and product direction. This role suits a graduate or Ph.D. student who is comfortable in ambiguous problem spaces and enjoys turning hypotheses into quantified, published evidence. Applying Artificial Intelligence is expected as part of this position. Key Responsibilities Workload characterization: Analyze AI training and inference workloads to derive memory bandwidth, capacity, and latency requirements. System modeling: Contribute to analytical and simulation models that evaluate memory-centric system architectures at scale. Architecture studies: Assess system-level tradeoffs across emerging memory and integration technologies. Validation & accuracy: Benchmark models against reference data to improve accuracy and ensure reproducible results. Quantified analysis: Produce system-level performance, efficiency, and cost analyses that inform architectural decisions. Documentation & publishing: Capture findings in internal technical reports and contribute to invention disclosures where applicable. Minimum Qualifications Currently pursuing an M.S. or Ph.D. in Computer Architecture, Computer Engineering, Electrical Engineering, or a related field. Strong background in computer architecture and system-level performance analysis (memory hierarchy, bandwidth, latency, scaling). Ability to analyze complex memory and AI performance challenges and reason about tradeoffs quantitatively. Proficiency in Python for building analytical models and performance analysis. Good verbal and written communication and problem-solving abilities. Preferred Qualifications Understanding of memory architectures (HBM, DDR, LPDDR, CXL, emerging memories) and their impact on AI/ML workloads. Understanding of near-memory and advanced integration technologies — 3D stacking, chiplets, interposers, heterogeneous packaging — and their system-level tradeoffs. Experience with AI systems and accelerators (GPU/ASIC), performance benchmarking, or design-space exploration. Familiarity with simulation frameworks and reproducible experimentation. What You'll Gain Turn architecture hypotheses into quantified, published evidence that shapes next-generation memory technology and product direction, while working alongside senior memory and systems architects on some of the most challenging problems in AI infrastructure. The US base salary range that Micron Technology estimates it could pay for this full-time position is: $50.24 - $55.82 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.