Micron is a global leader in memory and storage, powering AI and compute-intensive applications from cloud to edge with innovative semiconductor solutions.
About the role
We are seeking a motivated engineer to join the DRAM Systems Engineering team, focusing on the development, evaluation, and optimization of next-generation memory systems for AI accelerators. This role emphasizes research and development across hardware architecture, operating systems, and performance analysis to support Agentic AI inference workloads. If you are ambitious and eager to make an impact in the exciting world of AI and memory systems, this is the perfect opportunity for you!
What they're looking for
- Bachelor's, with 10+ yrs experience, or Master’s or PhD degree in Computer Science, Electrical Engineering, or a related field
- Strong background in memory systems, operating systems, distributed systems, or parallel computing
- Proficiency in C/C++ and Python with hands-on systems programming experience
- Experience working in Linux environments, including shell scripting and debugging tools
- Strong communication skills and ability to work independently and in teams
More about this 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.
We are seeking a motivated engineer to join the DRAM Systems Engineering team, focusing on the development, evaluation, and optimization of next-generation memory systems for AI accelerators. This role emphasizes research and development across hardware architecture, operating systems, and performance analysis to support Agentic AI inference workloads. If you are ambitious and eager to make an impact in the exciting world of AI and memory systems, this is the perfect opportunity for you!
- Characterize AI inference workloads and examine memory behavior
- Build and evaluate tiered memory hierarchies for AI accelerators
- Study KV cache lifecycles, MoE models, and data placement strategies
- Compare and optimize explicit versus hardware-assisted data movement
- Develop, test, debug, and detail system-level and OS components
- Prototype and evaluate agentic AI systems by building agents...
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