Staff Design Verification Engineer - Memory & AI Pipelines

Micron Technology, Inc.; San Jose (CA); On-site; USD 120,000 - 252,000; Full time

Benefits offered by this job

Benefits package

Job summary

Micron Technology, Inc. is seeking a Staff Engineer for Design Verification in San Jose, CA. You will design and analyze digital and analog circuits used in memory product development, leading layout and verification efforts to ensure manufacturability, reliability, and performance.

This role requires collaboration across marketing, test, and process integration plus a proactive drive for innovation. The position emphasizes building automation, handling large datasets with Python ML libraries,

Qualifications

• Bachelor’s or Master’s degree in Electrical Engineering with relevant experience.
• Experience building automation pipelines or tooling in an engineering environment.
• Experience with working on larger datasets using Python ML/data libraries.
• Experience with developing new transactors and hybrid emulation models.
• Understanding of Agentic AI or willingness to learn to improve workflows.

Responsibilities

• Design and analyze digital and analog circuits for memory products.
• Lead layout process including floor-planning, placement and routing.
• Perform verification using industry-standard simulators and modeling.
• Collaborate with cross-functional teams to ensure manufacturability and quality.
• Drive innovation across memory generations in a dynamic environment.

Skills

Automation pipelines

Python ML libraries

Transactors & hybrid emulation

Agentic AI awareness

Large datasets handling

Education

Bachelor’s Degree in Electrical Engineering

Master’s Degree in Electrical Engineering

Job description

Micron Technology, Inc. is seeking a Staff Engineer for Design Verification in San Jose, CA. You will design and analyze digital and analog circuits used in memory product development, leading layout and verification efforts to ensure manufacturability, reliability, and performance.

This role requires collaboration across marketing, test, and process integration plus a proactive drive for innovation. The position emphasizes building automation, handling large datasets with Python ML libraries,