About the role#
The Advanced Systems Research and Engineering team develops software and hardware for AI infrastructure. You will work with senior engineers on systems software for Large Language Models and Agentic AI. This role focuses on the performance, scalability, and efficiency of AI inference and training workloads across GPU platforms and memory systems. You will contribute to profiling, optimization, and experimental evaluation to help shape future technology roadmaps.
What you'll do#
- Develop systems software, profiling tools, and experimentation frameworks for LLM training and inference.
- Design and implement memory and state-management techniques for AI serving environments.
- Characterize and optimize AI workload execution across GPUs, CPUs, and memory subsystems.
- Build benchmarking, simulation, and automation capabilities to evaluate data placement and scheduling.
- Collaborate with engineering teams to analyze experimental results and contribute to technical publications or future platform designs.
What you'll need#
- Currently pursuing a Master's or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Experience with AI systems, machine learning systems, computer systems research, or systems software development.
- Understanding of Large Language Models, including transformer execution, attention mechanisms, and KV cache behavior.
- Proficiency in Python and C/C++ with experience in Linux environments.
- Experience using GPU-based performance analysis tools and AI frameworks like PyTorch, vLLM, or TensorRT-LLM.
Location & details#
- This internship is based in Austin, Texas.
- The position is on-site and full-time.
- This is a paid internship with a rolling term.
About Micron Technology
Micron Technology produces memory and storage solutions including DRAM, NAND, and NOR products. The company operates as a public organization with over 43,000 employees. Founded in 1978, it maintains its headquarters in Boise, Idaho. Micron serves various markets ranging from data centers to mobile devices.
How to get in at Micron Technology
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