AI-Driven DRAM Power Engineer

1000 Micron Technology, Inc.

Boise (ID)

On-site

USD 120,000 - 150,000

Full time

14 days+

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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 a DRAM Power Engineer to influence the power efficiency of next-generation memory products. You will perform AI-assisted power analysis, develop models, and translate requirements into actionable architectural guidance.

Collaborating with Design, Product Engineering, and System Architecture teams, you will define power targets across the product lifecycle and help balance power, performance, and energy efficiency in fast-paced AI-enabled memory solutions.

Qualifications

  • Minimum 3+ years of relevant industry experience or advanced degree.
  • Experience in DRAM architecture, memory subsystems, or power analysis is preferred.
  • Strong problem-solving and data-driven decision making.

Responsibilities

  • Perform AI-assisted DRAM power analysis and IDD characterization.
  • Develop and maintain power models, methodologies, and tools.
  • Translate system requirements into power- and architecture-focused recommendations.
  • Define and support DRAM power targets throughout product development.
  • Collaborate with Design, Product Engineering, and System Architecture teams.

Skills

Power analysis
Modeling
Simulation
Data analysis
Cross-team collaboration

Education

Bachelor's degree in Electrical Engineering or Computer Engineering
Master's degree or PhD in related field

Tools

Power analysis tools
Automation frameworks
Architectural evaluation tools

Job description

Micron Technology, Inc. is seeking a DRAM Power Engineer to influence the power efficiency of next-generation memory products. You will perform AI-assisted power analysis, develop models, and translate requirements into actionable architectural guidance.

Collaborating with Design, Product Engineering, and System Architecture teams, you will define power targets across the product lifecycle and help balance power, performance, and energy efficiency in fast-paced AI-enabled memory solutions.

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