At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Job Description: AI Design Validation Specialist (Verification / Workflow SME)
Role Overview
We are seeking an experienced AI EDA Specialist (Verification / Workflow SME) to bridge the gap between semiconductor verification methodologies and AI-driven automation. This role will serve as the domain expert responsible for validating AI-generated verification artifacts, debugging customer verification challenges, developing ground-truth datasets, and ensuring AI solutions align with industry-standard verification workflows.
The ideal candidate combines deep expertise in SystemVerilog, UVM, simulation, and formal verification with a passion for enabling next-generation AI-powered engineering solutions.
Key Responsibilities
Verification Workflow Validation
•
Validate AI-generated outputs across RTL verification workflows.
•
Review and assessment generated:
•
UVM testbenches
•
Assertions (SVA)
•
Coverage strategies
•
Simulation and formal verification flows
•
Ensure compliance with industry-standard verification methodologies and best practices.
Customer Technical Support & Debugging
•
Investigate and resolve customer-reported issues involving:
•
UVM environments
•
RTL verification testbenches
•
Functional coverage
•
Assertion failures
•
Simulation regressions
•
Reproduce, analyze, and document root causes of complex verification problems.
•
Partner closely with customers, application engineers, and product teams to drive issue resolution.
Ground Truth & Benchmark Development
•
Develop and maintain benchmark verification datasets and golden reference test cases.
•
Establish correctness criteria for evaluating AI-generated verification artifacts.
•
Build validation suites for model qualification and regression testing.
AI Model Enablement
•
Collaborate with AI/LLM engineers to improve accuracy and verification relevance of AI-generated outputs.
•
Review model responses and provide feedback for fine-tuning and evaluation.
•
Translate semiconductor verification workflows into structured AI evaluation scenarios.
•
Help reduce hallucinations and improve technical correctness of AI-assisted verification solutions.
EDA Workflow Integration
•
Validate interoperability between AI systems and industry-standard EDA tools.
•
Support workflow automation across:
•
Simulation
•
Regression management
•
Coverage analysis
•
Formal verification
•
Identify opportunities to improve verification productivity through AI-assisted automation.
Required Qualifications
Education
•
Bachelor’s or Master’s degree in:
•
Electrical Engineering
•
Computer Engineering
•
Computer Science
•
Related technical discipline
Experience
•
6–10 years of experience in semiconductor verification.
•
Proven experience developing and debugging complex UVM-based verification environments.
•
Hands-on experience with RTL, IP, subsystem, or SoC verification projects.
Technical Skills
Verification Expertise
•
Strong knowledge of:
•
SystemVerilog
•
UVM
•
RTL Verification
•
Functional Coverage
•
Code Coverage
•
Assertion-Based Verification (SVA)
•
Constrained Random Methodologies
Debug & Analysis
•
Expertise debugging:
•
Simulation failures
•
Assertion violations
•
Coverage gaps
•
Verification regressions
•
Complex multi-component testbenches
EDA Tools
Experience with one or more of the following:
•
Cadence Xcelium
•
Synopsys VCS
•
Siemens QuestaSim
•
Cadence JasperGold
•
Synopsys VC Formal
•
Verification management and regression platforms
Automation Skills
•
Python
•
Shell scripting
•
TCL scripting
•
Workflow automation and test framework development
Preferred Qualifications
•
Experience supporting customers or field engineering organizations.
•
Familiarity with AI, LLMs, or AI-assisted EDA workflows.
Knowledge of agentic AI systems and evaluation methodologies.
•
Exposure to semiconductor EDA product development or application engineering.
Key Competencies
•
Deep semiconductor verification expertise.
•
Strong analytical and problem-solving skills.
•
Ability to translate AI outputs into technically correct verification solutions.
•
Excellent communication and customer interaction skills.
•
Cross-functional collaboration across engineering, AI, product, and customer teams.
•
Passion for driving innovation through AI-enabled verification technologies.
Success Metrics
•
AI-generated verification accuracy against ground-truth benchmarks.
•
Reduction in customer issue resolution time.
•
Improvement in workflow validation pass rates.
•
Reduction in AI-generated verification errors and hallucinations.
•
Growth of validated benchmark datasets and test suites.
•
Improved customer productivity and adoption of AI-assisted verification workflows.
Role Impact: This role serves as the semiconductor verification authority responsible for ensuring AI-generated verification outputs are technically accurate, workflow-compliant, and production-ready for deployment across customer environments.
We’re doing work that matters. Help us solve what others can’t.