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# MTS, Systems Engineer

- **Company:** Micron's People Organization
- **Location:** San Jose, CA, United States
- **Salary:** $215,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, C++ (Programming Language), Nvidia CUDA, Extract Transform Load (ETL), Software Debugging, Distributed Systems, Dynamic Random-Access Memory, Memory Management, Python (Programming Language), Linux Kernel, Linux System Administration, OpenCL, Shell Script, System Programming, Multi-Agent Systems, Parallel Computation, Gpu Programming, Information Technology, Optimization Algorithms, Machine Learning Operations, Virtual Agents
- **Published:** September 26, 2026
- **Apply:** https://www.dice.com/job-detail/96f6a4ab-91f7-4b1b-be94-fec672a91c9a

## About the Role

+ 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

Preferred Qualifications

 * Experience with advanced memory technologies such as HBM and LPDDR
 * Familiarity with AI/ML systems, particularly inference workloads
 * Experience with GPU programming frameworks such as CUDA or OpenCL
 * Knowledge of performance analysis and system-level optimization techniques
 * Experience with Linux kernel memory management or system-level simulation models

## Description

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 and multi-agent workflows using modern frameworks and orchestration patterns (planning, tool use, memory, and context management). Apply these technologies both as workloads under study and as accelerators for internal engineering workflows, Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.