Verification Engineer

Category Engineering Hire Type Employee Job ID 19170 Remote Eligible No Date Posted 10/12/2026

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 have spent over a decade in semiconductor verification, and you know where the real time gets lost. Not writing testbenches, but triaging regressions, chasing coverage holes, and debugging the same failure patterns repeatedly. You have built verification environments in UVM, closed coverage on complex IP blocks, and solved problems that required deep RTL knowledge and methodical thinking.

What drives you now is making verification workflows better. You see repetitive tasks that could be automated and inefficiencies that slow teams down. You have probably built scripts or tools that made your team more productive. You are curious about where technology is heading, you have experimented with AI tools or thought about how new approaches could help with verification challenges. You have a strong understanding of verification methodologies and an interest in emerging technologies such as AI, intelligent automation, and next-generation engineering solutions. You do not need to be an expert in emerging technologies, but you are open to exploring what actually works.

At Synopsys, you will work on verification challenges that matter, with teams who care about delivering quality solutions and exploring what is next.

What You'll Be Doing 

• Design, develop, and deploy AI-driven automation solutions that improve verification productivity and address real engineering challenges.
• Collaborate with cross-functional teams to understand user needs, identify workflow bottlenecks, and develop scalable solutions that improve engineering efficiency and user experience.
• Integrate new technologies and capabilities into existing verification workflows and tools, creating seamless experiences that fit how engineers work.
• Evaluate emerging technologies, including AI and machine learning approaches, and assess their applicability to real-world engineering problems through prototyping and user validation.
• Provide technical leadership on verification productivity initiatives, contributing to architecture decisions, tool development, and engineering best practices.

The Impact You Will Have

• Reduce verification cycle time and debug hours by delivering automation and tools that eliminate repetitive work and surface insights faster
• Improve verification quality and consistency by building frameworks and methodologies that help catch issues earlier and work more systematically
• Accelerate debug workflows by creating tools that help analyze simulation data, correlate failures, and identify root causes more quickly
• Help verification engineers focus on high-value problem-solving by automating the routine parts of their workflow
• Contribute to Synopsys' verification technology roadmap by exploring new approaches and technologies that could improve verification productivity
• Build solutions that are adopted and used daily by verification teams, creating measurable improvements in productivity and engineer satisfaction

What You'll Need

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field with 10+ years of hands-on semiconductor verification experience; MS or PhD preferred
• Expert-level knowledge of semiconductor verification methodologies, with extensive hands-on experience in SystemVerilog, UVM, and industry-standard verification flows, tools, and environments.
• Strong programming and scripting skills in Python, Perl, or similar languages with a track record of building verification automation, tools, or infrastructure that improved team productivity.
• Proven ability to debug complex verification failures across RTL, testbenches, and simulation environments, with strong analytical and problem-solving skills.
• Interest in or exposure to AI, machine learning, or automation technologies is a strong plus.

Who You Are

• You take ownership of verification challenges from end to end, from understanding the problem with users, to building a solution, and unlimately deploying it in production environments
• You build tools and automation that verification engineers actually want to use because you understand their workflows, pain points, and what will genuinely help versus add overhead
• You communicate technical concepts clearly to both verification engineers and cross-functional teams, explaining complex tradeoffs without losing critical details
• You share knowledge openly through documentation, code reviews, and collaboration, helping elevate verification practices and technical capability across teams
• You work effectively across global teams and time zones, building trust with stakeholders through clear communication, reliable delivery, and a collaborative approach

The Team You'll Be Part Of

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