Principal Verification Engineer, AI-Enabled Flows

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 a decade building verification environments that do not just pass regression, they scale across teams, survive architecture changes, and actually catch the bugs that matter before tapeout. The difference between a verification flow that works and one that becomes technical debt is usually visible in the first few architectural decisions, and you are the engineer who sees it early and speaks up before it becomes someone else's problem three months later.

You are equally comfortable debugging a UVM testbench at 2am and sitting with an AI team to figure out how an LLM can generate better constrained random scenarios. You do not wait for perfect tool documentation or complete requirements. You prototype, ask the right questions, iterate with what you have, and document what you learn so the next engineer does not have to start from scratch.

You have strong opinions on what good verification looks like, and you back them up with evidence, not volume. When a flow does not fit, you offer alternatives. When a method works, you share it. At Synopsys, you will work on verification flows that power digital IP used across the semiconductor industry, and the methods you build will be used by engineering teams globally.

What You'll Be Doing

• Design and implement AI-enabled verification flows for Synopsys digital IP using VCS, Verdi, VMS Execution Manager, Verdi Planner (HVP), and VIPs
• Contribute hands-on to the internal Agentic AI platform that IP engineering teams use to develop, verify, and deliver IP
• Define and document verification methods, best practices, and practical AI use cases for digital IP projects that teams can actually adopt
• Provide technical guidance on UVM, SystemVerilog, flow optimization, and debug to engineers working across global sites
• Own technical initiatives from concept through production deployment, working independently and across cross-functional teams
• Partner with EDA development teams to share field feedback and improve verification workflows based on real usage patterns
• Diagnose flow issues, bottlenecks, and tool limitations, then develop and deploy solutions for internal teams and customers

The Impact You Will Have

• Your verification flows will directly improve the quality, efficiency, and time to market for digital IP used across the semiconductor industry
• The AI-enabled methods you build will accelerate verification workflows for engineering teams globally, reducing manual effort and catching issues earlier
• Your documentation and best practices will become the reference standard for digital IP verification across Synopsys
• The technical guidance you provide will elevate the verification capabilities of engineers across multiple sites and product lines
• Your collaboration with EDA teams will shape the next generation of Synopsys verification tools based on real-world field experience
• The solutions you deploy will reduce verification bottlenecks and enable faster iteration cycles for complex digital designs
• Your work will help define how AI is practically applied to verification at scale, not just in demos but in production flows

What You'll Need

• 10+ years of hands-on IP or SoC verification experience, including building verification environments from the ground up and driving technical initiatives to completion
• Strong working knowledge of digital verification methods and Synopsys tools including VCS, Verdi, VMS Execution Manager, Verdi Planner (HVP), and VIP
• Proficiency in SystemVerilog, UVM, Tcl, and Python for building and automating verification flows
• Bachelor's degree in Electrical, Electronics, or Computer Engineering; an advanced degree is a plus
• Demonstrated ability to architect verification flows and infrastructure for complex digital designs from initial concept through production deployment is desired
• Experience applying LLMs or other Agentic AI frameworks to accelerate verification flows is a strong plus
• Ability to manage multiple priorities, document technical methods clearly, and communicate effectively across global teams and time zones

Who You Are

• You explain technical tradeoffs in two sentences without losing the nuance, whether you are talking to a verification engineer or a product VP
• You take ownership of problems end to end, make decisions using evidence and data, and offer practical alternatives when a standard method does not fit the context
• You work independently without needing constant direction, but you know when to pull in cross-functional expertise and you collaborate effectively across teams and time zones
• You share what you learn through clear documentation and direct knowledge transfer, and you stay current on verification and AI tools by focusing on what actually works in production, not what sounds good in a whitepaper
• You stay hands-on with design and debug even at a principal level because you know the best architectural decisions come from understanding what breaks in practice
• You push back when a flow or method is too vague, a timeline is unrealistic, or an AI use case is solving the wrong problem, and you do it with alternatives, not just critique

The Team You'll Be Part Of

You will join the Digital IP Verification Methodology Center of Excellence (COE), working with engineers across global sites to improve verification methods, apply current AI capabilities, integrate tools, and share best practices. The team supports Synopsys and its customers in developing and verifying digital IP.

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.