Staff Engineer: Systems Performance & Benchmarking

Micron Technology, Inc.; Richardson (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision plans

Paid time-off

Paid holidays

Disability & family leave

Job summary

Micron Technology, Inc. in Richardson, TX seeks a Staff Engineer, Systems Performance to deploy, tune, and test data center solutions leveraging cutting-edge memory and storage technologies.

The role focuses on analyzing workloads in AI/ML, RDBMS, NoSQL, SDS, and data analytics, producing standard methodologies and technical papers, and driving continuous improvements with product teams.

Qualifications

• Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering or related field with 60 months of progressive post-baccalaureate experience.
• Experience in enterprise/data center server systems foundations and memory/storage hierarchies.
• Linux OS deployment and optimization experience.
• Experience deploying and testing AI/ML workloads, databases, or NoSQL domains.
• 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 value of Micron tech stack.
• Instrument and measure application workloads, analyzing performance at memory/SSD subsystems.
• Summarize results into standard methodologies, technical papers, and presentations.
• Drive continuous improvement feedback to Micron product development organizations.

Skills

Python programming

Linux

Memory systems

Performance tuning

AI accelerators

Education

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

Tools

Benchmarking frameworks

Job description

Micron Technology, Inc. in Richardson, TX seeks a Staff Engineer, Systems Performance to deploy, tune, and test data center solutions leveraging cutting-edge memory and storage technologies.

The role focuses on analyzing workloads in AI/ML, RDBMS, NoSQL, SDS, and data analytics, producing standard methodologies and technical papers, and driving continuous improvements with product teams.