AI-Enabled DRAM Design Intern

1000 Micron Technology, Inc.

Boise (ID)

On-site

USD 34,000 - 48,000

Full time

13 days ago

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Benefits offered by this job

Medical, dental and vision plans
Paid time off
Paid holidays

Job summary

Micron Technology, Inc. is seeking an Intern DRAM Design Engineer to contribute to the design, analysis, verification, and optimization of digital, analog, and mixed‑signal circuits used in next‑generation memory products.

You will collaborate with design, verification, product engineering, test, and manufacturing teams to support new product development and manufacturability initiatives. You will also have opportunities to apply AI‑assisted methodologies to improve design workflows, automation,

Qualifications

  • Pursuing a Bachelor's or Master’s degree in Electrical or Computer Engineering and continuing through Fall 2027.
  • Experience with digital, analog, or mixed‑signal design is beneficial.
  • Strong problem‑solving and communication skills.

Responsibilities

  • Develop and validate memory circuits, including digital, analog, and mixed-signal blocks.
  • Support physical design activities such as parasitic modeling, floorplanning, placement, and routing.
  • Collaborate with global teams to improve manufacturability, quality, and product performance.
  • Develop AI‑assisted tools and leverage AI to improve design workflows and productivity.

Skills

Analytical skills
Communication skills
Problem-solving

Education

Bachelor’s or Master’s degree in Electrical/Computer Engineering

Tools

EDA tools
Circuit simulation tools

Job description

Micron Technology, Inc. is seeking an Intern DRAM Design Engineer to contribute to the design, analysis, verification, and optimization of digital, analog, and mixed‑signal circuits used in next‑generation memory products.

You will collaborate with design, verification, product engineering, test, and manufacturing teams to support new product development and manufacturability initiatives. You will also have opportunities to apply AI‑assisted methodologies to improve design workflows, automation,

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