AI Memory Systems Engineer for Next-Gen AI Inference

Micron Technology, Inc.; San Jose (CA); On-site; USD 215,000 - 376,000; Full time

Job summary

Micron Technology, Inc. in the United States is seeking a Systems Engineer for DRAM Systems Engineering focusing on development, evaluation, and optimization of next‑generation memory systems for AI accelerators.

This role spans hardware architecture, operating systems, and performance analysis to support agentic AI inference workloads. Candidates should have a strong background in memory systems, Linux, and proficiency in C/C++ and Python; knowledge of GPU frameworks and memory management is a

Qualifications

• Bachelor's degree or higher with 10+ years experience, or Master’s/PhD in Computer Science, Electrical Engineering, or 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 in Linux environments, including shell scripting and debugging tools.
• Strong communication skills and ability to work independently and in teams.

Responsibilities

• 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 and multi-agent workflows using modern frameworks and orchestration patterns.

Skills

Memory systems

Operating systems

Distributed systems

Parallel computing

C/C++

Python

Linux environments

Shell scripting

Communication

Education

Bachelor's/Master/PhD in CS/EE

Tools

CUDA

OpenCL

Job description

Micron Technology, Inc. in the United States is seeking a Systems Engineer for DRAM Systems Engineering focusing on development, evaluation, and optimization of next‑generation memory systems for AI accelerators.

This role spans hardware architecture, operating systems, and performance analysis to support agentic AI inference workloads. Candidates should have a strong background in memory systems, Linux, and proficiency in C/C++ and Python; knowledge of GPU frameworks and memory management is a