Staff CAD Engineer – EDA Tools & Automation

Micron Technology, Inc.; Richardson (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

Paid time off

Paid holidays

Paid family leave

Job summary

Micron Technology, Inc. in Richardson, TX is seeking a Staff CAD Engineer to advance CAD tools and design flows across memory product development. The role emphasizes automation, EDA tool integration (Cadence, Synopsys, Siemens), and cross-team collaboration.

You will design and validate CMOS circuits, perform parasitic extraction, and develop prototypes for innovative IC design ideas. Strong Python skills and ML awareness will help optimize workflows and enable scalable production.

Qualifications

• Master’s degree in Electrical Engineering or related field.
• Experience CMOS circuit design and parasitic extraction.
• Vetting and deploying sophisticated EDA software flows.
• Developing software prototypes for IC design, parasitic extraction, and analysis.
• Programming in Python for automation and tooling.

Responsibilities

• Develop, enhance, and support CAD tools and workflows.
• Integrate EDA software into internal design environments.
• Provide training and documentation for tool adoption across teams.
• Diagnose and resolve CAD and infrastructure issues to ensure high availability.
• Evaluate and adopt emerging EDA technologies to improve flows.

Skills

CMOS circuit design

Parasitic extraction

EDA tooling

Python programming

Machine learning

RTL2GDS

IC design

Education

Master’s degree in Electrical Engineering

Tools

Cadence

Synopsys

Siemens

Job description

Micron Technology, Inc. in Richardson, TX is seeking a Staff CAD Engineer to advance CAD tools and design flows across memory product development. The role emphasizes automation, EDA tool integration (Cadence, Synopsys, Siemens), and cross-team collaboration.

You will design and validate CMOS circuits, perform parasitic extraction, and develop prototypes for innovative IC design ideas. Strong Python skills and ML awareness will help optimize workflows and enable scalable production.