Verification AI Engineer

Descriptions & Requirements

Job Description and Requirements

We Are Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. You Are You are an experienced engineer with a strong background in semiconductor verification and a passion for applying modern AI technologies to solve complex engineering challenges. You understand verification methodologies and workflows and are excited about the potential of AI, verification automation, and intelligent engineering solutions. You enjoy collaborating across teams, solving difficult technical problems, and delivering solutions that improve engineering productivity, quality, and user experience.

Design, develop, and enable AI-powered solutions that improve engineering productivity across semiconductor verification workflows. Collaborate with Product Engineering, R&D, and other cross-functional teams to identify technical challenges and transform them into scalable automation and AI-assisted solutions. Develop integrations between AI technologies and engineering tools, enabling intelligent workflows, automation, and enhanced user experiences. Evaluate and apply emerging technologies such as LLMs, AI agents, RAG, MCP, and workflow orchestration frameworks to solve real-world engineering problems. Provide technical leadership and contribute to the advancement of AI-driven solutions across verification and related engineering domains. The Impact You Will Have Improve engineering productivity and efficiency through intelligent automation and AI-assisted workflows. Help accelerate the adoption of AI technologies across semiconductor engineering and verification environments. Enable engineers to solve problems faster and make more informed decisions through innovative tools and workflows. Contribute to Synopsys' leadership in AI-driven engineering solutions by combining domain expertise with emerging AI technologies.

Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, along with 10+ years of relevant industry experience; MS or PhD preferred. Strong understanding of semiconductor verification methodologies and flows, with hands-on experience in Verilog, SystemVerilog, UVM, simulation, coverage closure, debug, regression, and related verification technologies. Experience with programming and software development, preferably in Python or similar languages used for automation and engineering applications. Familiarity with advanced verification methodologies and related technologies such as static verification, formal verification, or verification automation is a plus. Interest in or experience applying AI, machine learning, LLMs, or automation technologies to engineering challenges. Familiarity with modern AI technologies such as agent frameworks, RAG systems, MCP, workflow automation, or similar technologies is a strong plus. Strong analytical, problem-solving, and debugging skills with the ability to address complex technical challenges. Excellent communication and collaboration skills, with the ability to work effectively across global and cross-functional teams.

You take ownership of complex engineering challenges and consistently drive them to successful outcomes through strong technical leadership and problem-solving skills. You proactively improve product quality, performance, and engineering efficiency by identifying opportunities and delivering scalable solutions. You collaborate effectively across Product Engineering, R&D, and other cross-functional teams to advance AI-driven engineering solutions and verification