Senior AI Memory Systems Engineer

1000 Micron Technology, Inc.; San Jose (CA); On-site; USD 215,000 - 376,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Paid time off

Paid holidays

Equity & bonuses

Job summary

Micron Technology, Inc. seeks a senior engineer for the DRAM Systems Engineering team to develop, evaluate, and optimize memory systems for AI workloads. You will explore hardware architecture, operating systems, and performance analysis for agentic AI inference.

The role emphasizes research, collaboration, and hands-on systems work. The candidate should have strong memory, OS, and parallel computing background, with proficiency in C/C++ and Python, Linux experience, and excellent communication

Qualifications

• Bachelor’s, with 10+ yrs experience, or Master’s or PhD in CS/EE or related field.
• Strong background in memory systems, OS, 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 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 vs hardware-assisted data movement.
• Develop, test, debug, and detail system-level and OS components.
• Prototype and evaluate agentic AI systems with multi-agent workflows.

Skills

Memory systems

Operating systems

Distributed systems

Parallel computing

C/C++

Python

Linux

Shell scripting

Debugging tools

Communication

Education

Bachelor's degree + 10+ yrs

Master’s degree

PhD degree

Tools

CUDA

OpenCL

GPU programming frameworks

Job description

Micron Technology, Inc. seeks a senior engineer for the DRAM Systems Engineering team to develop, evaluate, and optimize memory systems for AI workloads. You will explore hardware architecture, operating systems, and performance analysis for agentic AI inference.

The role emphasizes research, collaboration, and hands-on systems work. The candidate should have strong memory, OS, and parallel computing background, with proficiency in C/C++ and Python, Linux experience, and excellent communication