Drimva

Micron

Intern - SSD Architecture Modeling

Boise, ID - Main Site · Internship · Posted Oct 5, 2026

Experience
0–2 years of relevant experience through internships, research projects, academic coursework, software development projects, or engineering experience.
Education
Currently pursuing a Master's or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related technical field.

About the job

Develop software tools and automation for SSD architecture modeling, simulation analysis, and performance characterization, using data analytics and AI-enabled engineering practices.

What you'll do

  • Develop software tools and automation solutions for modeling, simulation analysis, and performance characterization.
  • Build workflows, dashboards, and reporting tools to analyze large engineering datasets and identify performance trends or anomalies.
  • Collaborate with engineering teams to improve modeling and simulation methods and apply AI-assisted techniques to engineering workflows.

What they ask for

  • Currently pursuing a Master's or PhD in a specified technical field or related field.
  • Proficiency in Python, C++, or similar programming languages, with strong software development fundamentals.
  • Experience working in Linux or Unix development environments.
  • Demonstrated ability to use AI-enabled tools, including large language models, to improve productivity, learning, development, or problem-solving.

Nice to have

  • Experience with modeling, simulation, performance analysis, benchmarking, or data analytics tools.
  • Familiarity with data visualization, machine learning, Git, automated testing, CI/CD, or workflow automation.

Tools

Python, C++, Linux, Unix, Copilot, Claude, ChatGPT, Git

AI focus

Apply AI-assisted development, large language models, intelligent analytics, and automation to improve software development, engineering workflows, productivity, and technical decision-making.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)