Lead Verification Engineer

Job description

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. • Experience developing verification automation frameworks. • 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.