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About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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, 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
More about this role
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...
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