AI Data Scientist Technical Leader; Hybrid

The application window is expected to close on: 11/30/2026

This is a hybrid role based thrice a week in Cisco's San Jose, CA office.

We are seeking a highly skilled AI Data Scientist / Data Analyst to join our Silicon One Hardware Engineering team. In this role, you will leverage sophisticated analytics, machine learning, and AI agent technologies to drive yield analysis, debug, and predictive modeling for our semiconductor manufacturing processes. Your work will directly impact product quality, test cost, manufacturing efficiency, and time-to-market for Cisco’s industry-leading silicon solutions.

Develop, deploy, and maintain AI/ML models for yield analysis, yield debug, and early-stage failure prediction in semiconductor manufacturing.

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 business and technical 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 clear visualizations, reports, and presentations.

Stay current with the latest advancements in AI/ML, data analytics, and semiconductor manufacturing best practices.

Excellent problem-solving, communication, and teamwork skills.

• MS or PhD in Computer Science, Electrical Engineering, Data Science, Statistics, or a related field.
• 8+ years of experience in data science, machine learning, or data analytics, preferably in semiconductor or hardware engineering environments.
• Strong proficiency in Python and data science libraries (e.g., pandas, scikit-learn, XGBoost, Tensor Flow, 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 (e.g., matplotlib, seaborn, Tableau, Power BI).

• Experience with cloud-based data platforms (e.g., AWS, GCP, Azure) and big data technologies.
• Familiarity with Optuna or other hyperparameter optimization frameworks.
• Knowledge of hardware debug, root cause analysis, and reliability engineering.

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions.

Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.

The starting salary range posted for this position is $ to $ and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or…