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Micron Technology

Staff Engineer, Technology - AMAIS

  • Office
  • 6+ years

Salary

Not stated

Similar roles pay $195K - 260K a year · our estimate

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Description

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.

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.
  • 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 micron.com/careers/benefits .
  • To learn about your right to work click here.
  • To learn more about Micron, please visit micron.com/careers
  • For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupportna@micron.com or 1-800-336-8918 (select option 3)
  • Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
  • Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
  • AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
  • Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Where you’d work

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About the company

Micron Technology

Office in United States

Also hiring in San Jose, United States and Austin, United States

4 of their 129 open roles are remote

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  • Must-haves
Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • LLMs
  • RAG
Seniority
Staff
Type
Full-time
Specialty
ML
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Seniority
Staff
Experience
6+ years
Tech stack
  • Python
  • LLMs
  • RAG

Location

Work model
Office
Region
United States
Office
  • United States

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

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