Senior AI Verification Chip Design Engineer

NVIDIA
Tel Aviv
Workplace: OnsiteFull timeFunction: Design (Product/UX/UI/Visual)Experience: 8+ yearsEducation: bachelorsSkills: ["Leadership","Training","Collaboration","Strategic innovation","Problem-solving"]

Build and deploy AI-driven pre-silicon verification environments that replace manual testbenches with automated stimulus generation and coverage closure. Develop AI agents and ML models integrated into the verification toolchain to enable intent-to-testbench workflows and intelligent debugging of simulation failures. Apply LLMs and reinforcement learning to reduce state-space explosion, working with design automation teams and EDA vendors from RTL to GDS, and train the team on human-in-the-loop methodologies.

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FursaFursa
NVIDIA
NVIDIA
1 month ago

Senior AI Verification Chip Design Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Build and deploy AI-driven pre-silicon verification environments that replace manual testbenches with automated stimulus generation and coverage closure. Develop AI agents and ML models integrated into the verification toolchain to enable intent-to-testbench workflows and intelligent debugging of simulation failures. Apply LLMs and reinforcement learning to reduce state-space explosion, working with design automation teams and EDA vendors from RTL to GDS, and train the team on human-in-the-loop methodologies.
Location: Tel Aviv
Workplace: Onsite
Employment Type: Full time
Job Function: Design (Product/UX/UI/Visual)
Seniority: Mid level

Key Responsibilities

  • •Build and deploy an AI verification environment to automate stimulus generation and coverage closure.
  • •Develop and integrate AI agents and ML models into the verification toolchain for intent-to-testbench automation.
  • •Create and refine AI-based debug assistants to analyze simulation failures, categorize bugs, and suggest fixes.
  • •Research and apply AI approaches (e.g., reinforcement learning, LLMs) to address state-space explosion in chip verification.
  • •Partner with design automation teams and EDA vendors, and train others on AI and human-in-the-loop methodologies from RTL to GDS.

Key Requirements

  • •Bachelor’s degree in Electrical Engineering, Computer Science, or equivalent experience.
  • •8+ years of hands-on pre-silicon verification experience.
  • •Experience aimed at automating traditional “manual” verification workflows.
  • •Experience building or using AI tools for hardware verification (e.g., automated coverage, log analysis, or bug prediction).
  • •Strong perspective on applying AI to improve verification efficiency and debugging.
Experience:8+ yearsPre-silicon verificationHardware verificationEDA
Education:Bachelor's in Electrical Engineering, Computer Science
Skills:LeadershipTrainingCollaborationStrategic innovationProblem-solving
Tech Stack:LLMsMachine learningReinforcement LearningAI agentsML models

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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