Staff GenAI Engineer: AI-Driven Memory Design Optimization

Micron; San Jose (CA); On-site; USD 170,000 - 290,000; Full time

Benefits offered by this job

Medical, dental & vision plans

Paid time off and holidays

Job summary

Micron Technology, a world leader in memory and storage, is seeking an engineer to embed AI into circuit design, layout, and verification. You will partner with design, CAD, and product teams to reduce manual effort and accelerate tape-out.

The role focuses on data-driven modeling, AI-assisted optimization of floorplanning, placement, routing, and simulation, and leveraging silicon data to drive predictive insights.

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
• 5 to 7 years Experience with circuit design, layout, verification, or CAD flows.
• Strong coding skills with Python or similar languages to develop production-quality software.
• Experience applying data analysis, machine learning, or automation to engineering workflows.

Responsibilities

• Embed AI and automation into circuit design, layout, and verification workflows.
• Apply data-driven methods to modeling, validation, and tape-out iteration reduction.
• Enable AI-assisted optimization of floorplanning, placement, routing, and simulation.
• Leverage historical design and silicon data to drive predictive insights.
• Collaborate across design, CAD, and manufacturing teams to scale AI-enabled methods.

Skills

Python

Data analysis

Machine learning

Engineering workflows

Education

Bachelor's degree in EE/CE/CS

Master's degree in EE/CS (preferred)

Tools

CAD tools

Python development

Job description

Micron Technology, a world leader in memory and storage, is seeking an engineer to embed AI into circuit design, layout, and verification. You will partner with design, CAD, and product teams to reduce manual effort and accelerate tape-out.

The role focuses on data-driven modeling, AI-assisted optimization of floorplanning, placement, routing, and simulation, and leveraging silicon data to drive predictive insights.