Role overview
We're seeking a Data & AI Engineer to develop intelligent data pipelines and analytics solutions that power smarter decisions across silicon design, verification, and manufacturing. You'll transform engineering data into actionable insights through automation, modeling, and visualization.
What you'll work on
- Build and maintain data pipelines to support machine learning and analytics workflows.
- Collect, clean, and transform large, complex datasets from engineering environments.
- Develop and train predictive models for yield, performance, and anomaly detection.
- Automate recurring data analysis tasks and integrate models into engineering processes.
- Collaborate with design and software teams to embed AI-driven insights into products.
- Create dashboards and visualization tools for reporting and decision-making.
- Document code, models, and processes for transparency and reproducibility.
What we're looking for
- Familiarity with semiconductor design, verification, or manufacturing datasets.
- Understanding of statistical modeling and predictive maintenance.
- Experience with cloud environments (AWS, Azure, GCP) and version control (Git).
- Knowledge of MLOps principles (deployment, monitoring, CI/CD).
Tags & focus areas
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