NVIDIASenior AI Verification Chip Design Engineer
NVIDIA is hiring a Senior AI Verification Chip Design Engineer in Tel Aviv, Israel. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Builds AI ●●●● is how Level rates this role: the job is building AI systems.
- The posting mentions LLMs, Reinforcement learning and Machine learning among its tools and skills.
- Level classes it as a senior role.
- NVIDIA has 2,600+ other open roles on Level.
AI in this role
Build and deploy AI verification environments, LLMs, and machine learning models to automate chip verification and debugging workflows.
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.
How we rate this
Senior AI Verification Chip Design Engineer at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where chip verification was part of your work. What did you do?
- Tell me about a project where eda was part of your work. What did you do?
- Tell me about a project where hardware verification was part of your work. What did you do?
- Tell me about a project where debugging was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Chip Verification, Eda, Hardware Verification, and Debugging. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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