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Internship
Hardware

Intern - Firmware Engineer

Micron

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Hours
Full time
Where
Longmont-MAX- Office, CO
Posted
Yesterday

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.

The SSD Engineering team develops the firmware that powers Micron's industry-leading storage solutions. By combining embedded systems expertise, software innovation, and AI-enabled development practices, the team delivers high-performance, reliable SSD products for client, enterprise, and data center applications.

As an SSD Firmware Intern, you will work alongside experienced engineers to develop, test, and improve firmware for Micron's SSD products.

What you'd do

  • Collaborate with firmware engineers to develop, test, and enhance SSD firmware features and functionality.
  • Debug and resolve firmware issues to improve product performance, reliability, and quality.
  • Develop and implement test plans to validate firmware functionality and support product qualification activities.
  • Participate in code reviews and contribute to continuous improvements in code quality and development processes.
  • Document firmware features, updates, and technical information for internal and external stakeholders.

What they want

  • 0-2 years of relevant experience through internships, research, coursework, academic projects, or software/firmware development activities.
  • Currently pursuing a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field and returning to school following the internship.
  • Proficiency in C/C++ programming acquired through coursework, projects, internships, or research experience.
  • Basic understanding of embedded systems, firmware development, and software debugging concepts.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent written and verbal communication skills and the ability to work effectively in a team environment.
  • Experience using AI-enabled tools and large language models (LLMs), such as Copilot, Claude, or similar technologies, to support coursework, projects, or daily work activities.
Starts
2026-09-15