Staff Engineer, AI-Driven Semiconductor Modeling

Micron Technology, Inc.; Boise (ID); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical/Dental/Vision

Paid time off

Paid holidays

Benefits guide available

Job summary

Micron Technology, Inc. is seeking a Sr/Staff Technology-AMAIS Engineer to develop and deploy physics and data-driven process models within VPM and SPOCK.

You will work at the intersection of semiconductor process engineering and AI, building predictive models for DRAM, HBM, and technology-transfer applications. Responsibilities include model development, deployment, validation, and automation to scale VPM workflows, with collaboration across global teams and leadership.

Qualifications

• Master's or PhD in Electrical/Computer/Materials Science, Applied Physics, Statistics or Data Science.
• Strong statistics, experimental design, optimization, ML, and predictive modeling.
• Experience with Python or similar scientific computing environments.

Responsibilities

• Develop and deploy VPM process models using semiconductor data to optimize performance.
• Apply analytics, AI, and Agentic AI to solve semiconductor tech challenges.
• Build AI-enabled SPOCK/composite modeling workflows integrating data and models.

Skills

Statistical analysis

Experimental design

Machine learning

Python

AI/LLMs

Communication

Education

Master's or PhD in EE/CS/Physics/Stats

Tools

Python libraries (NumPy, SciPy)

ML frameworks (TensorFlow/PyTorch)

Job description

Micron Technology, Inc. is seeking a Sr/Staff Technology-AMAIS Engineer to develop and deploy physics and data-driven process models within VPM and SPOCK.

You will work at the intersection of semiconductor process engineering and AI, building predictive models for DRAM, HBM, and technology-transfer applications. Responsibilities include model development, deployment, validation, and automation to scale VPM workflows, with collaboration across global teams and leadership.