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Location
In office (Bengaluru)
Seniority
Principal · 15+ years exp

Confirmed on the employer's own hiring board on Nov 6, 2026. First seen by Alion on Nov 4, 2026. Synopsys scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Synopsys is an American software company founded in 1986 that supplies electronic design automation tools used to design and verify integrated circuits, together with a large portfolio of licensable semiconductor IP such as interface, memory and processor blocks. Its 2025 acquisition of Ansys added engineering simulation software for structures, fluids and electromagnetics, while it sold its application security business, now Black Duck, in 2024. Listed on Nasdaq, it hires applications engineers, SoC solutions engineers and R&D staff in the United States, India and Vietnam. The company is headquartered in Sunnyvale, California, United States.

Job Description and Requirements

  • Principal Timing Signoff Engineer
  • Principal Static Timing Analysis Engineer
  • Principal Standard Cell Library Timing Engineer
  • Principal STA Methodology Engineer
  • Principal Library Signoff Architect
  • 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 the better part of two decades chasing timing closure, and somewhere along the way you stopped thinking of signoff as a gate and started thinking of it as a prediction problem. You know that the difference between a library that works in a lab and one that ships in a million AI chips comes down to how well you modeled variation six months before tape-out. You have debugged enough customer escalations to recognize the smell of a characterization corner case, a parasitic extraction mismatch, or a setup check that looked fine until someone dropped VDD by 50 millivolts.

    You do not wait for perfect data. You work with what the foundry gave you, what the characterization team extracted, and what the customer is seeing in their design, and you triangulate toward truth. You have built signoff flows that other engineers actually use, not because you mandated them, but because they solve real problems. You can sit in a room with a characterization engineer, a customer's STA lead, and a foundry PDK owner and walk out with a plan that everyone believes in.

    At Synopsys, you will work on standard cell libraries that power some of the most advanced semiconductor designs in production today. The problems are hard, the nodes are bleeding-edge, and the work you do will directly affect whether a chip meets its performance target or not.

    What You'll Be Doing

    • Own timing signoff methodology for standard cell libraries across TSMC N3, N2, N5, N7, and derivative nodes, defining setup, hold, recovery, removal, pulse-width, and noise margins that hold up in silicon
    • Develop and validate multi-corner, multi-mode signoff flows for low-VDD, high-performance, and AI/compute SoCs, accounting for AOCV, POCV, SOCV, aging effects, and dynamic voltage drop
    • Drive correlation analysis between Liberty models, PrimeTime STA results, HSPICE simulations, and silicon measurements to improve timing prediction accuracy and close signoff gaps
    • Debug critical customer-reported timing issues, root-cause discrepancies between characterization, signoff, and deployment, and define corrective actions that prevent recurrence
    • Build automation infrastructure in Python and Tcl to scale signoff validation, quality checks, and methodology deployment across multiple library releases
    • Collaborate with characterization, CAD, modeling, EDA vendors, and foundry partners to influence signoff methodology direction and resolve advanced-node timing challenges
    • Create technical documentation, best-practice guidelines, and deployment recommendations that internal teams and external customers rely on for signoff success

    The Impact You Will Have

    • Your signoff methodologies will define how Synopsys standard cell libraries are validated and deployed across dozens of customer tape-outs on the most advanced nodes in production
    • You will directly improve the accuracy of timing models that determine whether high-performance AI and compute chips meet their frequency, power, and yield targets
    • Your correlation work will close the gap between what we predict in Liberty and what customers measure in silicon, reducing over-design margin and enabling better PPA
    • You will resolve customer escalations that are blocking tape-out schedules, turning critical timing failures into understood, fixable methodology gaps
    • Your automation and QA infrastructure will scale signoff validation across multiple nodes, reducing characterization cycle time and catching issues before libraries ship
    • You will mentor senior engineers and technical leads, raising the bar for timing signoff expertise across the standard cell library development organization
    • Your technical leadership will shape how Synopsys approaches variation-aware timing, low-VDD signoff, and advanced-node methodology for the next generation of process technologies

    What You'll Need

    • 15+ years of semiconductor industry experience with significant depth in timing signoff, static timing analysis, and standard cell library development
    • Recognized expertise in STA and signoff methodologies for advanced process nodes, ideally including direct experience with TSMC N7, N5, N3, or equivalent
    • Deep hands-on proficiency with Synopsys PrimeTime, PrimeTime-SI, SiliconSmart or Liberate, HSPICE, Spectre, and FineSim
    • Strong understanding of Liberty modeling, LVF, AOCV, POCV, SOCV, statistical timing, and variation-aware signoff techniques
    • Proven track record defining and deploying signoff methodologies that have been adopted across multiple products, customers, or business units
    • Expert-level automation skills in Python and Tcl, with experience building scalable signoff and QA infrastructure in Linux environments
    • Experience correlating STA results, SPICE simulations, parasitic extraction, and silicon measurements to drive signoff accuracy and resolve discrepancies

    Who You Are

    • You can look at a timing report with a 10ps violation and know within two questions whether it is a characterization issue, a parasitic problem, or a signoff methodology gap
    • You have led root-cause investigations that spanned characterization, customer designs, foundry PDKs, and EDA tool behavior, and you know how to keep all those threads moving without losing momentum
    • You are comfortable presenting signoff methodology recommendations to senior management, strategic customers, and foundry partners, and you can back up your position with data
    • You push back when a characterization corner looks wrong or a signoff criterion does not match what you are seeing in silicon, and you do it in a way that moves the conversation forward
    • You have mentored engineers through complex timing correlation problems and helped them build the instinct for what matters and what is noise
    • You treat customer escalations as learning opportunities, not interruptions, and you use them to make the next library release better

    The Team You'll Be Part Of

    Your recruiter will share more about the team structure and mission during the interview process.

    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.

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.

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