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

📌 Sr Principal Verification Engineer (Noida)
🏢 Cadence
📍 Noida