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    Job · 18977589

    Qualcomm logo

    Staff Engineer - STA Methodology/CAD

    Qualcomm · Bengaluru · onsite · Posted 29d ago

    Undisclosed7–12 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    General Summary
    As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements.
    Job Area
    Engineering Group, Engineering Group > Hardware Engineering
    Minimum Qualifications
    • Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.
    • Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience.
    • PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.
    Job Overview
    We are seeking a highly motivated Staff Engineer STA Methodology to drive the development, deployment, and enhancement of next-generation Static Timing Analysis (STA) methodologies for complex SoCs. The ideal candidate will have strong expertise in timing signoff, constraint methodologies, automation, and timing closure flows across advanced technology nodes.
    Key Responsibilities
    • Define, develop, and improve STA methodologies for block, subsystem, and full-chip designs.
    • Drive timing signoff flows including MMMC analysis, constraint validation, ECO methodologies, and correlation strategies.
    • Develop automation and infrastructure using Tcl/Python/Perl to improve timing analysis efficiency and turnaround time.
    • Own methodology development for timing closure, reporting, constraint management, and signoff quality metrics.
    • Collaborate closely with RTL, Synthesis, Physical Design, DFT, and CAD teams to enable robust timing convergence.
    • Drive adoption of advanced timing techniques including SOCV/AOCV, hierarchical STA, and signoff optimization flows.
    • Debug complex timing issues and provide scalable solutions across multiple projects.
    • Evaluate and deploy new EDA tool capabilities and AI-driven timing closure methodologies.
    • Mentor junior engineers and provide technical leadership across STA methodology initiatives.
    Minimum Qualifications
    • Bachelor's or Master's degree in Electronics, Electrical Engineering, VLSI, or related field.
    • 7+ years of experience in STA, Timing Signoff, Timing Methodology, or CAD/EDA methodology development.
    • Strong understanding of:
      • Static Timing Analysis (STA)
      • MMMC timing signoff
      • Timing constraints (SDC)
      • Setup/Hold closure methodologies
      • SOCV/AOCV derates
      • ECO and timing convergence techniques
    • Expertise with Synopsys PrimeTime or Cadence Tempus.
    • Strong scripting skills in Tcl and Python.
    Preferred Qualifications
    • Experience with advanced technology nodes (7nm and below).
    • Experience developing timing automation frameworks, dashboards, and reporting infrastructure.
    • Knowledge of Synthesis, Physical Design, DFT, and power-aware timing analysis.
    • Exposure to AI/ML-driven timing optimization and methodology development.
    • Proven track record of driving methodology improvements adopted across multiple programs.
    • Strong communication, collaboration, and technical leadership skills.

    Sourced from naukri

    Skills

    AutomationPrimetimeCadenceHardware Engineeringphysical designmechanical systemsAnalogPerlcorrelationCADDFTElectronics EngineeringEvent DrivendeploymentDebugelectrical engineeringPythonDigital TransformationArtificial IntelligenceMachine Learning

    About Qualcomm

    Qualcomm logo

    Qualcomm

    Semiconductors

    22k+

    employees

    1996

    30 years old

    San Diego,California

    United States

    About

    Qualcomm invents breakthrough technologies that transform how the world connects, computes and communicates.

    Industries

    SemiconductorsHardware & Networking

    Employee ratings

    1,207 reviews

    3.7/ 5

    Culture

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    Career growth

    3.2

    Work-life

    3.3

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