Synopsys Inc

Verification AI Engineer

Synopsys Inc  •  Seongnam-si, KR (Remote)  •  3 hours ago
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Job Description

General Information

Job Title

Verification AI Engineer

Job ID

19170

Country

Korea, Republic of

City

Seongnam-si

Date Posted

06-Oct-2026

Job Category

Engineering

Job Subcategory

R&D Engineering

Hire Type

Employee

Remote Eligible

No

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.

What You'll Be Doing

  • 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.

What You'll Need

  • 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.

Who You Are

  • 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 workflows.
  • You communicate clearly, share knowledge, and help foster a culture of innovation, collaboration, and technical excellence.

The Team You'll Be Part Of

You will join the Korea Synopsys Verification team, a group of engineers developing and enabling advanced verification solutions for semiconductor customers. In this role, you will contribute to AI-driven initiatives that enhance engineering productivity, automation, and verification workflows while working closely with Product Engineering, R&D, and other global teams.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

#TPG

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Synopsys Inc

About Synopsys Inc

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.

Industry
IT & Software
Company Size
10,000+ employees
Headquarters
Sunnyvale, California
Year Founded
Unknown
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