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Internship
Hardware

Intern - ASIC Validation

Micron

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Hours
Full time
Where
Minneapolis, MN
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 ASIC Validation team plays a critical role in bringing Micron's next-generation silicon products to life by validating and characterizing new devices as they return from fabrication. Working closely with design, verification, and firmware teams, the group develops innovative validation methodologies, automation solutions, and AI-enabled workflows to ensure product quality, performance, and reliability.

As an ASIC Validation Intern, you will work alongside experienced engineers to validate newly developed silicon and enhance the validation infrastructure used across engineering teams.

What you'd do

  • Collaborate with validation, design verification, and firmware teams to support silicon bring-up, testing, and validation activities for new ASIC devices.
  • Use laboratory equipment, automation tools, and validation environments to characterize device functionality and performance.
  • Develop or enhance scripts, automation solutions, and AI-assisted workflows to improve validation efficiency, failure analysis, and reporting.
  • Analyze validation results, debug complex issues, and evaluate AI-generated insights while applying sound engineering judgment.
  • Document technical findings, communicate project results, and present recommendations to engineering teams.

What they want

  • 0-2 years of relevant experience through internships, research, academic projects, laboratory work, or engineering experience related to ASICs, semiconductor devices, hardware validation, or embedded systems.
  • Currently pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
  • Basic understanding of ASIC design, silicon bring-up, validation methodologies, or semiconductor development processes.
  • Experience using electronic laboratory equipment through coursework, research, or project activities.
  • Familiarity with generative AI tools, AI-enabled workflows, and large language models (LLMs) such as Copilot, Claude, or similar technologies.
  • Strong analytical, troubleshooting, and problem-solving skills with the ability to critically evaluate AI-assisted outputs.
  • Excellent communication and collaboration skills with the ability to work effectively in a team environment.
Starts
2026-09-15