cisco systemsSan Jose, CA
AI Data Scientist Technical Leader (Hybrid)
Overview:
In this role you will develop and maintain AI/ML models for yield analysis and early-stage failure prediction in semiconductor manufacturing, and build AI agents to automate root-cause analysis. You will work with hardware and process teams to translate requirements into data-driven solutions, delivering insights that improve yield, quality, and manufacturing efficiency. You will stay abreast of AI/ML advances and communicate findings to cross-functional teams. This is a hands-on, impact-driven position at Cisco’s Silicon One hardware team with a strong emphasis on practical data science in a manufacturing context. Compensation / Benefits medical, dental and vision insurance 401(k) with Cisco matching paid parental leave short and long-term disability coverage basic life insurance bonus potential for non-sales roles
Responsibilities:
Develop, deploy, and maintain AI/ML models for yield analysis, yield debug, and early-stage failure prediction Build and optimize AI agents to automate data-driven root cause analysis and yield improvement initiatives Analyze large-scale manufacturing, test, and parametric datasets to identify trends, anomalies, and actionable insights Collaborate with hardware, test, and process engineering teams to translate requirements into robust data science solutions Design and implement predictive models to forecast yield and quality metrics at various stages of the manufacturing flow Communicate findings and recommendations to multi-functional teams through visualizations, reports, and presentations Stay current with AI/ML advancements and semiconductor manufacturing best practices Demonstrate excellent problem-solving, communication, and teamwork skills
Key requirements:
MS or PhD in Computer Science, Electrical Engineering, Data Science, Statistics, or related field 8+ years of experience in data science, machine learning, or data analytics (preferably in semiconductor or hardware engineering) Strong proficiency in Python and data science libraries (pandas, scikit-learn, XGBoost, TensorFlow, PyTorch) Experience building, validating, and deploying AI/ML models for classification, regression, anomaly detection, and time-series forecasting Hands-on experience with AI agent frameworks and automation of data analysis workflows Solid understanding of semiconductor manufacturing, test data, and yield analysis concepts Experience with data visualization tools (matplotlib, seaborn, Tableau, Power BI) Problem-solving ability Excellent communication Teamwork and collaboration Python pandas scikit-learn
Also on the board Same function, level within a rung
Level
Lead
Location
San Jose, CA
Occupation
Data Scientists
Industry
Computer Systems Design Services
Posted
today