NAND Design Engineer: AI-Driven Circuits

Micron Technology; Avezzano; On-site; EUR 34,000 - 57,000; Full time

Benefits offered by this job

Meal vouchers

Corporate welfare

Remote working days

Health insurance

Life coverage

Employee Assistance Program

Job summary

Micron Technology, a world leader in memory and storage solutions, seeks a Design Engineer in the NVE Design Engineering Core group in Italy. You will contribute to best-in-class memory products using analog, digital, and mixed-signal circuits.

The role covers design, simulation, and optimization of NAND core blocks, plus extensive verification and cross-functional collaboration to boost power efficiency and manufacturability. AI-assisted tooling and Python workflows are encouraged.

Qualifications

• MS or PhD in Electrical Engineering or related field.
• Senior experience in analog and/or mixed-signal CMOS design.

Responsibilities

• Design, simulate, and optimize NAND core circuit blocks balancing performance, power, area, and reliability.
• Translate requirements into circuit implementations and evaluate feasibility across use cases.
• Perform comprehensive circuit verification (DC, AC, transient, noise, Monte Carlo, PVT) at block and chip level.
• Collaborate with multi-functional teams to improve power efficiency, manufacturability, and product performance.
• Develop and leverage automation solutions (Python-based workflows) and maintain documentation.

Skills

Analog CMOS design

Mixed-signal design

SPICE simulations

Power integrity

Layout automation

Python scripting

Circuit verification

AI-assisted design

Education

M.S. in Electrical Engineering

Ph.D. in Electrical Engineering

Tools

SPICE-based simulators

Job description

Micron Technology, a world leader in memory and storage solutions, seeks a Design Engineer in the NVE Design Engineering Core group in Italy. You will contribute to best-in-class memory products using analog, digital, and mixed-signal circuits.

The role covers design, simulation, and optimization of NAND core blocks, plus extensive verification and cross-functional collaboration to boost power efficiency and manufacturability. AI-assisted tooling and Python workflows are encouraged.