Senior Applied AI Engineer (Semiconductor Manufacturing)
Core
Apply advanced AI/ML techniques and semiconductor physics to uncover patterns in complex data, developing predictive models and scalable solutions for product development and manufacturing efficiency.
Role type
Senior Applied AI Engineer (Semiconductor Manufacturing)
Builds
AI/ML solutions, software programs, algorithms, and automated pipelines for semiconductor product development and yield optimization.
Domain
Semiconductor manufacturing and memory solutions
Deliverable
production ML models | product features | infrastructure
Required skills
Python or R programming, end-to-end data science solution building, data engineering, machine learning algorithm development, ML Ops, data cleansing and integration, exploratory research
Preferred skills
Semiconductor industry experience, Large Language Models (LLMs) expertise, agentic AI systems design
Technologies
Python, R, LLMs, agentic AI systems
Responsibilities
Develop and deploy AI/ML solutions for yield optimization and manufacturing efficiency; Design, code, and maintain automated pipelines for large unstructured datasets; Collaborate cross-functionally to translate domain challenges into data science solutions; Identify and communicate actionable insights to stakeholders; Drive exploratory research and innovation in AI/ML; Support and improve existing tools and workflows for automation and analytics
Seniority
Senior, hands-on IC
