Staff Engineer, Technology - AMAIS

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

JR116158 Staff Engineer, Technology - AMAIS

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

The Advanced Modeling & AI Solutions team is seeking a Sr/Staff Technology-AMAIS Engineer to develop and deploy physics and data-driven process models, composite modeling solutions, and scalable modeling workflows within our Virtual Process Modeling (VPM) and SPOCK program using Machine Learning, Generative AI, and Agentic AI solutions.

The engineer will work at the intersection of semiconductor process/integration engineering, Artificial Intelligence, Large Language Models (LLMs), predictive modeling, statistical learning, and AI-enabled automation to develop predictive and prescriptive models for advanced DRAM, HBM, and technology-transfer applications. The role will also contribute to scaling VPM through automation and SPOCK capabilities. Current FY27 SPOCK work includes VPM composite-models, UC7, VPM UI ecosystem, MIND/App Hub, and agentic orchestration.

Key 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.

Required 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.

Preferred Qualifications

• Experience in semiconductor process development, manufacturing, process integration, equipment engineering, yield enhancement, or metrology.
• Hands-on experience with Virtual Process Modeling (VPM), Virtual Process Analysis (VPA), virtual metrology, Digital Twins, or other ML-based semiconductor modeling approaches.
• Proven ability to develop and deploy automated modeling, analytics, and data-processing pipelines in manufacturing environments.
• Familiarity with DRAM, HBM, advanced packaging technologies, and semiconductor process flows/travelers.
• Experience with advanced modeling platforms, workflow automation, Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI solutions is highly desirable.

Job Profile(s)

Data Scientist 3 - Data Scientist 4

Relocation Level: TBD

Before Getting Started

• Hiring managers may view your performance appraisals, original resume, transcripts or other performance-related documentation in your personal file. This information will be held in confidence.
• If you are selected to interview for a position, you must notify your direct supervisor before participating in the interview process.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on Benefits | Micron Technology, Inc

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at [e-mail] or 1-800-336-8918 (select option #3)