Senior Applied AI Engineer (Semiconductor Manufacturing)

Job Title

Senior Applied AI Engineer (Semiconductor Manufacturing)

Role Summary

Design and deploy applied AI and data science solutions to improve semiconductor product development, validation, yield, and manufacturing efficiency. Work on end-to-end projects from data engineering through model deployment and partner with domain engineers, data engineers, and UX teams.

Experience Level

Senior. Typical experience profile per minimum qualifications: equivalent of 5+ years professional experience for Bachelor's holders, 2+ years for Master's holders; advanced research experience for PhD holders.

Responsibilities

Key responsibilities include research, engineering, and cross-functional delivery of AI-driven solutions for semiconductor manufacturing.

• Develop and deploy ML/AI solutions for product development, validation, yield optimization, and manufacturing efficiency.
• Design, implement, and maintain software, algorithms, and automated pipelines to ingest, cleanse, integrate, and analyze large, heterogeneous datasets.
• Collaborate with subject-matter experts across engineering, product, and service teams to translate domain problems into data solutions.
• Extract and communicate actionable insights through analysis, visualization, and presentations for technical and non-technical stakeholders.
• Drive exploratory research and evaluate new AI/ML approaches applicable to semiconductor problems.
• Improve and automate existing tools and workflows; support ML Ops and production reliability.

Requirements

Core technical skills and demonstrated delivery experience required; preferred items listed separately.

Must-have:

• Proven track record building and launching end-to-end data science solutions, including data engineering, model development, UI/UX integration, and ML Ops.
• Proficiency in Python or R for data analysis, modeling, and automation.
• Experience with data engineering for large, unstructured datasets and building automated data pipelines.
• Strong written and verbal communication and presentation skills for diverse audiences.

Nice-to-have:

• Semiconductor industry experience, especially memory sector.
• Experience with Large Language Models (fine-tuning, prompt engineering, RAG, evaluation) and agentic AI systems.
• Demonstrated collaborative and mentoring skills; interest in teaching and knowledge sharing.

Education Requirements

Bachelor's degree in Engineering, Mathematics, Computer Science, Data Science, Physics, or a related field plus 5+ years relevant experience; OR Master's degree plus 2+ years relevant experience; OR PhD with relevant academic or industry experience in data science and/or the semiconductor industry. Equivalent practical experience accepted where indicated.

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.