Staff Engineer, AI-Driven Semiconductor Modeling

Micron Technology, Inc.; Boise (ID); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision plans

Paid time off

Paid holidays

Job summary

Micron Technology, Inc. is seeking a Sr/Staff Technology-AMAIS Engineer to develop and deploy physics and data-driven process models for advanced DRAM, HBM, and technology-transfer applications.

You will build AI-enabled workflows within VPM and SPOCK, scaling models through automation while collaborating with global teams. The role sits at the intersection of semiconductor process engineering, AI, LLMs, and predictive analytics, enabling robust modeling and actionable insights that drive yield

Qualifications

• Master's or Ph.D. in Electrical Engineering, Chemical Engineering, Mechanical Engineering, Materials Science, Applied Physics, Statistics, Data Science, Computer Science, or a related field.
• Strong expertise in statistical analysis, experimental design, optimization, machine learning, and predictive modeling.
• Experience developing analytical and machine learning models using Python or similar scientific computing environments.
• Understanding of AI, Generative AI, Large Language Models (LLMs), and AI-enabled engineering workflows, with the ability to combine data-driven insights with process and physical understanding.
• Excellent analytical, communication, and multi-functional collaboration skills to drive technical solutions and business outcomes.

Responsibilities

• Develop and deploy VPM process models using semiconductor manufacturing, equipment, metrology, wafer, and product data to optimize process performance.
• Apply advanced analytics, statistical methods, AI, and Agentic AI to solve complex semiconductor technology and manufacturing challenges.
• Build and enhance AI-enabled SPOCK/composite modeling workflows that integrate process data, machine learning algorithms, statistical models, and engineering expertise.
• Support the full model lifecycle, including development, validation, deployment, monitoring, and refresh of VPM and SPOCK applications.
• Create scalable automation and workflow solutions to improve modeling efficiency, robustness, and repeatability.
• Evaluate model performance through statistical validation, robustness testing, and detailed analysis to ensure fitness for use.
• Translate modeling insights into actionable recommendations that drive process optimization, yield improvement, technology development, and manufacturing excellence.
• Collaborate with multi-functional and global teams to scope projects, establish standard processes, maintain documentation/governance, and communicate technical results to partners and leadership.

Skills

Statistical analysis

Experimental design

Optimization

Machine learning

Predictive modeling

Python

LLMs

Generative AI

Cross-functional collaboration

Education

Master's or PhD in Electrical/ Chemical/ Mechanical Engineering, Materials Science, Applied Physics, Statistics, Data Science, or CS

Tools

VPM

SPOCK

Digital Twins

Python

Job description

Micron Technology, Inc. is seeking a Sr/Staff Technology-AMAIS Engineer to develop and deploy physics and data-driven process models for advanced DRAM, HBM, and technology-transfer applications.

You will build AI-enabled workflows within VPM and SPOCK, scaling models through automation while collaborating with global teams. The role sits at the intersection of semiconductor process engineering, AI, LLMs, and predictive analytics, enabling robust modeling and actionable insights that drive yield