Micron
MTS, Systems Engineer
$215K–$376K
San Jose, CA · Full-time · Posted Sep 24, 2026
- Experience
- 10+ years with a Bachelor’s degree; a Master’s or PhD is an alternative.
- Education
- Bachelor’s in Computer Science, Electrical Engineering, or a related field, or a Master’s or PhD degree in one of those fields.
About the job
Develops and evaluates next-generation memory systems for AI accelerators, analyzing inference workloads and system performance across hardware, operating systems, and agentic AI workflows.
What you'll do
- Characterize AI inference workloads and evaluate memory behavior, hierarchies, KV cache lifecycles, and data placement.
- Compare and optimize data movement; develop, test, and debug system-level and OS components.
- Prototype and evaluate agentic AI systems and multi-agent workflows for research workloads and internal engineering workflows.
What they ask for
- Bachelor’s degree with 10+ years of experience, or a Master’s or PhD 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 in Linux environments, including shell scripting and debugging tools.
Nice to have
- Experience with HBM or LPDDR; familiarity with AI/ML systems, particularly inference workloads.
- GPU programming experience with CUDA or OpenCL; knowledge of performance analysis, system optimization, Linux kernel memory management, or system-level simulation models.
Pay
$215,000.00 - $376,000.00 a year (base salary)
Tools
C/C++, Python, Linux, HBM, LPDDR, CUDA, OpenCL
AI focus
Researches and optimizes memory systems for AI accelerator inference workloads, including KV cache and MoE models; prototypes agentic AI systems and multi-agent workflows.
Model-written summary · the original posting is authoritative