DRAM Device & Cell Tech Intern — AI-Driven Research

Micron Technology, Inc

Boise (ID)

On-site

USD 28,000 - 34,000

Full time

10 days ago
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Benefits offered by this job

Medical plan
Dental plan
Vision plan
PTO
Paid holidays

Job summary

Micron Technology, Inc. in Boise invites an intern to contribute to Advanced DRAM Device & Cell Technology. You will develop and characterize future DRAM cell and access device technologies through experiments, data analysis, and cross-functional collaboration.

The role blends semiconductor device physics, materials engineering, experimentation, and data-driven decision making to improve performance, density, and reliability, with opportunities to apply AI-assisted analysis to improve workflows.

Qualifications

  • Pursuing an MS or PhD in Electrical Engineering, Materials Science, Applied Physics, Chemical Engineering or related field.
  • Experience with electrical characterization, device testing, statistical analysis, and interpretation of experimental data.

Responsibilities

  • Support evaluation of DRAM access devices, capacitors, and cell stack elements through characterization and data analysis.
  • Design and implement silicon experiments; perform electrical, physical, and materials characterization with statistics.
  • Analyze device and array-level behavior including sensing margins and retention.
  • Collaborate with modeling, design, process integration, and manufacturing teams to optimize technology.

Skills

Python
MATLAB
JMP
Data analysis

Education

MS/PhD in Electrical Eng / Materials Science / Applied Physics / Chemical Eng

Tools

TCAD

Job description

Micron Technology, Inc. in Boise invites an intern to contribute to Advanced DRAM Device & Cell Technology. You will develop and characterize future DRAM cell and access device technologies through experiments, data analysis, and cross-functional collaboration.

The role blends semiconductor device physics, materials engineering, experimentation, and data-driven decision making to improve performance, density, and reliability, with opportunities to apply AI-assisted analysis to improve workflows.

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