HBM Design Architect – AI‑Driven Memory for AI & HPC

1000 Micron Technology, Inc.

Richardson (TX)

On-site

USD 120,000 - 180,000

Full time

4 days ago
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Benefits offered by this job

Benefits package
Paid time off
Retirement plan

Job summary

Micron Technology, Inc. seeks a New College Graduate HBM Design Architect to contribute to evaluating future HBM/DRAM architectures. You will work with experienced teams to analyze performance, power, area, and reliability, using AI-assisted methods to speed architecture exploration.

Responsibilities include modeling, simulations, and data analysis, plus cross-team collaboration to assess design feasibility and manufacturability. Strong foundation in memory and CMOS topics is essential.

Qualifications

  • Master's or Ph.D. completed before start date.
  • Strong foundation in CMOS, memory systems, or digital/mixed-signal design.
  • Experience with models, simulations, or analytical methods.
  • Ability to evaluate problems and communicate results effectively.
  • Excellent written and verbal communication skills.

Responsibilities

  • Analyze HBM and DRAM architectures using models, simulations, and data.
  • Develop and apply modeling, simulation, and data-analysis methodologies.
  • Collaborate with architecture, circuit, layout, and product teams on feasibility and tradeoffs.
  • Perform root-cause analysis to improve model accuracy.
  • Present findings and recommendations through reviews and documentation.

Skills

CMOS circuits
digital/mixed-signal design
memory systems
signal integrity
AI in engineering

Education

Master's or Ph.D. in Electrical Engineering or Computer Engineering

Tools

HSPICE
FineSim
Spectre

Job description

Micron Technology, Inc. seeks a New College Graduate HBM Design Architect to contribute to evaluating future HBM/DRAM architectures. You will work with experienced teams to analyze performance, power, area, and reliability, using AI-assisted methods to speed architecture exploration.

Responsibilities include modeling, simulations, and data analysis, plus cross-team collaboration to assess design feasibility and manufacturability. Strong foundation in memory and CMOS topics is essential.

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