Systems Performance Engineer – Data Center & AI

Micron; Richardson (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

Paid time off

Paid holidays

Job summary

Micron Technology is seeking a data center performance engineer to deploy, tune, and test memory and storage solutions. You will lead systems-level projects across AI/ML, NoSQL, and analytics domains, optimizing performance and efficiency.

Proficiency in Python and Linux deployment is essential as you instrument workloads and report outcomes. The role emphasizes automating benchmarks, interpreting results, and driving feedback to product teams.

Qualifications

• Enterprise/ data center server systems foundations.
• Server system memory, storage hierarchy, processors, AI accelerators, networking, and memory.
• System tuning (hardware or software) and performance analysis.
• Linux operating system deployment and optimization.
• Deploying, performance tuning, and testing 2 or more application domains including NoSQL databases or Large Language Models.
• Python programming experience.

Responsibilities

• Deploy, performance tune, and test data center solutions using cutting-edge memory and storage.
• Execute systems level projects to understand data center workloads and maximize the value of Micron's technology stack.
• Shape and execute projects in data center domains including AI/ML, RDBMS, NoSQL, SDS, data analytics and emerging platforms.
• Automate and expand benchmarking capabilities to improve efficiency and repeatability.
• Instrument and measure application workloads, analyze solution performance, and summarize results into standard methodologies, papers, and presentations.
• Drive continuous improvement feedback to Micron product development organizations.

Skills

Python programming

Linux

Education

Bachelor's degree in Computer Engineering, Computer Science, or Electrical Engineering

Tools

Linux

NoSQL databases

Job description

Micron Technology is seeking a data center performance engineer to deploy, tune, and test memory and storage solutions. You will lead systems-level projects across AI/ML, NoSQL, and analytics domains, optimizing performance and efficiency.

Proficiency in Python and Linux deployment is essential as you instrument workloads and report outcomes. The role emphasizes automating benchmarks, interpreting results, and driving feedback to product teams.