Generative AI Expert for Verification Automation
Core
Drive the introduction and industrialization of Generative AI in SoC and IP functional verification, focusing on SoC-level verification flows and embedded software-driven validation.
Role type
Senior IC machine-learning engineer (verification automation)
Builds
AI-driven solutions for automated directed C testcase generation, UVM collateral generation, and coverage closure efficiency in industrial SoC validation flows.
Domain
Semiconductor / SoC verification / Generative AI
Deliverable
production ML models | product features
Required skills
SoC and IP functional verification, UVM-based verification environments, RTL design (SystemVerilog/VHDL), embedded software execution on SoCs, Machine Learning and Generative AI foundations, Large Language Models (LLMs) for code generation, Python for AI prototyping, AI frameworks (PyTorch, TensorFlow, LangChain), AI guardrails design, verification automation and test generation.
Preferred skills
Experience with GitHub Copilot, integrating AI solutions into industrial EDA and verification tool flows, coverage-driven verification, reasoning about trustworthiness and reproducibility of AI artifacts.
Technologies
Python, PyTorch, TensorFlow, LangChain, GitHub Copilot, SystemVerilog, VHDL, UVM, C/C++
Responsibilities
Define and deploy AI-driven solutions for automated testcase and UVM collateral generation; improve coverage closure efficiency through intelligent stimulus generation; ensure AI-generated artifacts comply with verifiable guardrails; leverage developer-facing AI tools to boost verification productivity; define methodologies and best practices for safe Generative AI use in verification; evaluate and prototype AI tools relevant to RTL and UVM; collaborate with design, verification, and EDA teams on integration.
Seniority
Senior, hands-on IC
