We Are

At Synopsys, we drive innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence—from self‑driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high‑performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are

A highly skilled and technically strong Lead Validation Engineer with deep expertise in Static Timing Analysis (STA) and PrimeTime flows. You are comfortable owning complex validation areas end‑to‑end, mentoring engineers, driving validation strategy, and acting as a technical bridge between Product Validation, R&D, Product Engineering, and Field teams.

You proactively identify risk areas, influence design decisions through data‑driven insights, leverage modern AI‑assisted engineering tools to improve efficiency and depth, and uphold the highest standards of product quality and validation rigor.

What You’ll Be Doing

Technical Leadership & Validation Ownership

• Lead and own validation of complex PrimeTime STA features and flows, from requirement analysis through quality sign‑off.
• Define and drive validation strategy, depth, and coverage for assigned functional areas.
• Act as technical lead for L1/L2 engineers, providing guidance on STA concepts, debugging approaches, testcase design, and best practices.
• Review and approve validation plans, testcases, regression results, and quality sign‑off metrics.
  
  

Product Quality, Debug, and Cross‑Team Collaboration

• Drive customer scenario reproduction, deep‑dive debugging, and root‑cause analysis of complex, cross‑component issues.
• Proactively identify product weak areas, corner cases, and scalability/performance risks and ensure early detection.
• Work closely with R&D, Product Engineering, and Field teams to clarify requirements, influence design decisions, validate fixes, and ensure smooth integration.
• Lead functional, regression, stress, accuracy, and sign‑off‑oriented testing for STA features and advanced flows.
  
  

Automation, Data Analysis & AI‑Assisted Productivity

• Architect and enhance automation frameworks using Perl, Tcl, and Python to improve productivity, robustness, and validation coverage.
• Analyze large‑scale validation and regression data to identify trends, systemic gaps, and improvement opportunities.
• Effectively leverage AI‑assisted engineering tools (e.g., VS Code / Cursor‑based workflows with multiple LLMs) for:
• Faster testcase and automation script development
• Debug acceleration and hypothesis generation
• Log analysis, flow understanding, and code reviews
• Improving documentation quality and consistency
• Apply sound technical judgment to validate, review, and refine AI‑assisted outputs, ensuring correctness, accuracy, and compliance with quality standards.
  

Communication & Continuous Improvement

• Prepare and present clear, executive‑ready validation status, quality metrics, risks, and recommendations.
• Participate in feature readiness reviews, postmortems, and continuous improvement initiatives.
• Drive best practices in validation methodology, tooling, and knowledge sharing across the team.
  
  

The Impact You Will Have

• Own and drive quality sign‑off for critical PrimeTime STA features.
• Significantly reduce customer‑reported issues through proactive, risk‑based validation.
• Improve tool accuracy, robustness, scalability, and real‑world customer readiness.
• Strengthen cross‑team alignment by serving as a trusted technical Subject Matter Expert (SME).
• Elevate overall team capability through mentorship, technical leadership, and adoption of modern productivity tools.
• Influence product roadmap and feature decisions through validation‑driven insights.
  
  

What You’ll Need

• Strong, hands‑on understanding of Static Timing Analysis fundamentals.
• BSEE with 5+ years of relevant experience OR MSEE with 4+ years of relevant experience.
• Deep hands‑on experience with:
• Synopsys PrimeTime or equivalent STA tools
• Advanced timing concepts, SDC constraints, and real‑world sign‑off scenarios
• OCV/AOCV/POCV, derates, PBA, ECO, and what‑if analysis flows
• Hierarchical, distributed, and large‑scale STA flows
• Proven ability to debug complex, ambiguous, cross‑component issues.
• Strong proficiency in Perl, Tcl, and Python for automation and framework development.
• Experience using AI‑assisted development tools responsibly to enhance engineering productivity and validation quality.
• Track record of technical ownership, leadership, and sound decision‑making.
• High standards for quality, rigor, documentation, and sign‑off discipline.