Staff Engineer, Technology - AMAIS

Job Title

Staff Engineer, Technology - AMAIS

Role Summary

The Advanced Modeling & AI Solutions (AMAIS) Staff Engineer will develop and deploy physics and data-driven semiconductor process models and scalable modeling workflows for Virtual Process Modeling (VPM) and SPOCK. The role combines semiconductor process knowledge with machine learning, generative AI, and agentic orchestration to produce predictive and prescriptive models for DRAM, HBM, and technology transfer.

Experience Level

Senior-level (Staff).

Responsibilities

Primary responsibilities focus on building, validating, deploying, and scaling modeling and automation solutions for semiconductor process engineering.

• Develop and deploy VPM process models using manufacturing, equipment, metrology, wafer, and product data to optimize process performance.
• Apply advanced analytics, statistical methods, machine learning, and Agentic AI to solve complex technology and manufacturing problems.
• Design and enhance SPOCK/composite-modeling workflows that integrate process data, ML algorithms, and engineering expertise.
• Support the full model lifecycle: development, validation, deployment, monitoring, and refresh of VPM/SPOCK applications.
• Create scalable automation and data-processing pipelines to improve modeling efficiency, robustness, and repeatability.
• Evaluate model performance via statistical validation and robustness testing to ensure fitness for use.
• Translate modeling results into actionable recommendations for process optimization, yield improvement, and technology development.
• Collaborate with global cross-functional teams to scope projects, maintain documentation and governance, and present technical results to partners and leadership.

Requirements

Must-have technical skills and experience.

• Strong expertise in statistical analysis, experimental design, optimization, and predictive modeling.
• Practical experience developing analytical and machine-learning models using Python or similar scientific computing environments.
• Understanding of AI concepts including Generative AI and Large Language Models (LLMs), and experience applying AI-enabled engineering workflows.
• Experience with model lifecycle activities: validation, deployment, monitoring, and refresh.
• Proven ability to build automation and workflow solutions or data-processing pipelines in production/manufacturing contexts.
• Excellent analytical skills, clear written and verbal communication, and demonstrated cross-functional collaboration.

Nice-to-have:

• Experience in semiconductor process development, process integration, equipment engineering, yield enhancement, or metrology.
• Hands-on experience with VPM, VPA, virtual metrology, Digital Twins, or ML-based semiconductor modeling approaches.
• Familiarity with DRAM, HBM, advanced packaging technologies, and process flows.
• Experience with Generative AI, Retrieval-Augmented Generation (RAG), Agentic AI solutions, and workflow automation platforms.

Education Requirements

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.

About the Company

Company: Micron Technology

Headquarters: Boise, Idaho, USA

Micron Technology is a global leader in memory and storage solutions, dedicated to transforming how the world uses information. The company offers a diverse portfolio of high-performance DRAM, NAND, and NOR memory products under the Micron and Crucial brands. With a commitment to customer focus and technological innovation, Micron drives advancements in artificial intelligence, 5G, and other data-centric applications, empowering users to learn, communicate, and progress.