About the Role
Job Details
Job Description:
We are hiring a Data Scientist to partner with functional validation (FV) engineers and technologists to accelerate pre and post silicon validation through data driven methods.
You will design and deploy machine learning algorithms and generative AI-augmented analytics pipelines across bench, lab, and fleet data to improve debug efficiency, coverage quality, and execution predictability.
Key Responsibilities
Lead AI/ML strategy for Post Silicon (post Si) validation by defining technical direction, model architectures, and data foundations that scale across products and sites.
Architect and drive end to end AI systems: data pipelines, feature stores, training workflows, inference services, and MLOps governance.
Develop and deploy advanced AI models (e.g., transformers for time series/logs, anomaly detection, root cause prediction, clustering) to accelerate debug and reduce TTR.
Apply LLMs and RAG to automate triage, summarize complex ...
Job Description:
We are hiring a Data Scientist to partner with functional validation (FV) engineers and technologists to accelerate pre and post silicon validation through data driven methods.
You will design and deploy machine learning algorithms and generative AI-augmented analytics pipelines across bench, lab, and fleet data to improve debug efficiency, coverage quality, and execution predictability.
Key Responsibilities
Lead AI/ML strategy for Post Silicon (post Si) validation by defining technical direction, model architectures, and data foundations that scale across products and sites.
Architect and drive end to end AI systems: data pipelines, feature stores, training workflows, inference services, and MLOps governance.
Develop and deploy advanced AI models (e.g., transformers for time series/logs, anomaly detection, root cause prediction, clustering) to accelerate debug and reduce TTR.
Apply LLMs and RAG to automate triage, summarize complex ...
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