Intern - AI Systems and Infrastructure Engineering

Micron Technology
Austin, Texas, United StatesPosted Aug 31, 2026
Software Engineering

About the role

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 Advanced Systems Research and Engineering team develops innovative hardware and software technologies that enable the next generation of Artificial Intelligence infrastructure. The team collaborates closely with engineering, architecture, product, and research organizations to evaluate emerging AI workloads and drive advancements in memory, storage, interconnects, and distributed computing platforms. Through systems research, prototyping, and performance analysis, the team helps shape future technology roadmaps and industry-leading solutions. The AI Systems Software Engineering Intern will work alongside senior engineers and researchers on advanced systems software for Large Language Models (LLMs) and Agentic AI applications. This role focuses on characterizing and improving the performance, scalability, and efficiency of AI inference and training workloads across GPU platforms and heterogeneous memory, interconnect, and storage systems. The intern will contribute to profiling, workload characterization, systems optimization, and experimental evaluation, helping drive innovations in AI infrastructure and memory technologies.

Responsibilities

Develop and enhance systems software, profiling tools, and experimentation frameworks for LLM training, LLM inference, and Agentic AI workloads. Design, implement, and evaluate memory- and state-management techniques, including caching, tiering, compression, eviction, and lifecycle management for AI serving environments. Characterize and optimize AI workload execution across GPUs, CPUs, memory subsystems, storage, and distributed infrastructure, with a focus on latency, throughput, scalability, and resource utilization. Build b

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