HBM Design Architect - Next-Gen Memory & AI

Micron Technology, Inc.

Richardson (TX)

On-site

USD 120,000 - 190,000

Full time

10 days ago

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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
Paid time off
Paid holidays

Job summary

Micron Technology, Inc. in Richardson, TX is seeking an HBM Design Architect (E1 to SMTS) to drive analysis, modeling, and pathfinding for next-generation High Bandwidth Memory products.

You will work with architecture, design, and product teams to evaluate performance, power, area, and manufacturability using advanced AI-enabled methods. The role emphasizes collaboration across teams, data-driven decision-making, and applying AI/LLMs for architecture exploration within a leading semiconductor

Qualifications

  • Degree in Electrical Engineering, Computer Engineering, or a related field completed prior to start date.
  • Strong foundation in CMOS circuits, analog or mixed-signal design, semiconductor devices, memory systems, or related areas.
  • Experience developing models, simulations, or analytical methodologies; ability to evaluate complex technical problems.

Responsibilities

  • Analyze HBM and DRAM architectures using analytical models, simulations, silicon data, and AI-assisted techniques.
  • Develop modeling, simulation, and data-analysis methods to compare architectural approaches.
  • Collaborate with architecture, circuit design, layout, packaging, product, and system teams to assess feasibility and tradeoffs.

Skills

CMOS circuits
Analog/mixed-signal design
Memory systems
Computer architecture
Thermal sciences
Signal integrity
Power delivery
Advanced packaging

Education

Electrical Engineering / Computer Engineering degree

Tools

HSPICE
FineSim
Spectre

Job description

Micron Technology, Inc. in Richardson, TX is seeking an HBM Design Architect (E1 to SMTS) to drive analysis, modeling, and pathfinding for next-generation High Bandwidth Memory products.

You will work with architecture, design, and product teams to evaluate performance, power, area, and manufacturability using advanced AI-enabled methods. The role emphasizes collaboration across teams, data-driven decision-making, and applying AI/LLMs for architecture exploration within a leading semiconductor

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