Senior / Staff Data Scientist, Agentic Platforms

Drive the design and deployment of intelligent, ML-powered solutions that enhance semiconductor design, product engineering, verification & validation, and manufacturing workflows—leveraging large-scale, unstructured to deliver robust, domain-specific AI systems from problem definition to production. Architect and implement agentic AI systems that integrate with Advanced Modeling tools, EDA tools, design environments, and product/manufacturing test platforms to automate tasks such as spec translation, design verification, product validation, and test log root cause analysis for components and system-level products. Establish and promote Best Known Methods (BKMs) for deploying LLMs and agentic systems in production environments, ensuring reliability, efficiency, and maintainability. Benchmark and evaluate model performance using structured evaluation frameworks, and continuously refine models through prompt tuning, RLHF, and feedback loops. Collaborate with cross-functional teams—including process engineers, design engineers, product and test engineering teams, and data scientists—to define high-impact problem statements and deliver scalable AI solutions. Communicate technical insights and solution strategies clearly to both technical and non-technical stakeholders through compelling data storytelling and visualizations.