Source description
About the role
Key Responsibilities AI-Driven Verification Innovation - Apply machine learning techniques to enhance pre-silicon functional verification workflows (formal verification and UVM-based methodologies) - Develop agentic AI systems using LLMs to accelerate verification processes - Utilize AI-powered EDA tools to improve efficiency and accuracy in design and verification lifecycles Functional Verification Leadership - Lead development and execution of pre-silicon verification strategies - Work with formal verification and/or UVM-based verification environments - Debug complex verification failures using waveform and simulation analysis tools Tool & Methodology Expertise - Work with industry-standard EDA tools such as Jasper, Xcelium, and IMC - Ensure correctness and completeness of verification flows across multiple design stages AI/ML Collaboration & Development - Collaborate with ML engineers building large-scale LLM and AI systems - Contribute to RAG, reinforcement learning, and agentic framework-based solutions for verification - Validate AI-generated outputs for correctness, efficiency, and quality Customer & Cross-Team Collaboration - Engage with customers to understand verification requirements and challenges - Work closely with software engineering and AI teams to deliver production-grade solutions - Translate customer needs into scalable verification methodologies Continuous Learning & Innovation - Stay updated on advancements in AI-powered hardware verification .
More at Cadence