Senior AI Verification Chip Design Engineer
NVIDIA • Tel Aviv, Tel-Aviv District, Israel
**Role & seniority: ** AI Verification Engineer; senior (≈8+ years) for NVIDIA Chip Design Methodologies team.
**Stack/tools: **
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AI/ML: LLMs, machine learning, reinforcement learning (explicit examples)
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Verification/toolchain: EDA integration, automated testbench/stimulus/coverage flows
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“AI agents” embedded in verification environment; log/simulation failure analysis tooling
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Top 3 responsibilities:
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Build an AI-driven verification environment (automated stimulus generation, coverage closure)
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Develop AI agents/ML models to automate intent-to-testbench workflows and integrate into the verification toolchain
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Create AI-based debug assistants to analyze simulation failures, categorize bugs, and suggest fixes
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Must-have skills:
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Pre-silicon verification hands-on experience (8+ years)
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Ability to apply LLMs/ML to hardware verification problems (debugging, coverage, automation)
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Strong understanding of verification automation and end-to-end RTL-to-GDS flow; collaboration with EDA/tool teams
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Nice-to-haves:
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Experience with AI for EDA such as automated coverage, log analysis, or bug prediction
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Research/implementation experience for state-space explosion mitigation approaches (e.g., RL/LLM-based)
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Location & work type: Not specified in provided text.
Full Description
NVIDIA is seeking a visionary AI Verification Engineer to join our Chip Design Methodologies team. We’re expanding how we use AI across all our verification methods. In this role, you’ll help us figure out where AI fits best and build the 'brains' behind our tools. You’ll help us leverage AI, utilizing LLMs and machine learning—to help us debug complex chips faster and more efficiently What You’ll Be Doing 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. What We Need to See 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. Ways to Stand Out from the Crowd AI for EDA: Experience building or using AI tools specifically designed for hardware verification (e.g., automated coverage, log analysis, or bug prediction). NVIDIA houses the most forward-thinking minds in the world. Are you a creative engineer ready to build the first truly self-verifying chip environment? Come join our team and help us define the future of hardware powered by artificial intelligence. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.
