Senior AI Verification Chip Design Engineer
NVIDIA· Engineer, ASIC
Hybrid (Tel Aviv), Hybrid (Yokneam)full-timePosted 3mo ago
About the role
AI verification-focused role within NVIDIA's Chip Design Methodologies team, building and embedding AI/ML into the verification toolchain to automate stimulus generation, debugging, and coverage, with leadership and cross-team collaboration.
Responsibilities
- AI Ecosystem Development: Build and deploy an AI verification environment, moving from manual testbenches to automated stimulus generation and coverage closure.
- Next-Gen Tooling: Develop and integrate AI agents and ML models directly within the verification toolchain to automate intent-to-testbench workflows.
- Intelligent Debugging: Create and refine AI-based debug assistants that can analyze simulation failures, categorize bugs, and suggest fixes autonomously.
- Methodology Innovation: Research and apply groundbreaking AI approaches (such as Reinforcement Learning or LLMs) to address the 'state-space explosion' in chip verification.
- Collaborative Intelligence: Work with design automation teams and EDA vendors to ensure our AI solutions provide end-to-end efficiency from RTL to GDS.
- Leadership & Training: Act as the authority, training the broader team on how to bring to bear AI tools and 'human-in-the-loop' methodologies.
Qualifications
- Bachelor’s Degree in Electrical Engineering, Computer Science, or equivalent experience.
- 8+ years of hands-on pre-silicon verification experience.
- Strategic Innovation: A perspective geared toward automation and a desire to redefine traditional 'manual' verification workflows.
Skills
Required:AI/ML in verification
Nice to have:Reinforcement LearningLLMs and AI agents
Last updated Jul 17, 2026. Interested? Apply on the company site.
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