MTS, Systems Engineer

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

Req ID: JR112602 MTS, Systems Engineer

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.

Job Summary

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!

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 (planning, tool use, memory, and context management). Apply these technologies both as workloads under study and as accelerators for internal engineering workflows

Minimum Qualifications

• 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

Job Profile(s)

Systems Software Engineering MTS

Relocation Level: TBD

The US base salary range that Micron Technology estimates it could pay for this full‑time position is:

$215,000.00 - $376,000.00 a year

Additional compensation may include benefits, bonuses and equity. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job‑related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time‑off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on Benefits | Micron Technology, Inc

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.