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    Job · 18636599

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    AI20P Design Verification Engineer

    Qpisemi · Bengaluru · onsite · Posted 31d ago

    Not disclosed5–7 yrsfulltimeSourced fromFoundit

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

    About this role


    About the Role

    Join the hardware engineering team building the next generation of custom silicon that powers breakthrough AI/ML models and hyperscale cloud services. In this role, you will leverage your digital verification expertise to validate complex TPU microarchitectures, ensuring zero-bug functionality before tape-out.

    Key Responsibilities

    • Verification Planning: Collaborate with microarchitecture and design teams to understand specifications and define comprehensive test plans targeting critical operational and corner-case scenarios.
    • Testbench Development: Architect, build, and maintain scalable, constrained-random verification environments using SystemVerilog and UVM (Universal Verification Methodology).
    • Coverage Analysis: Define, track, and close functional and code coverage metrics to identify verification holes and guarantee rigorous testing.
    • Debugging & Problem Solving: Work closely with design engineers to debug failing tests, root-cause RTL bugs, and iterate on test cases.
    • Methodology Innovation: Optimize verification flows, build regression systems, and develop automation scripts (e.g., Python or Perl) to increase verification throughput and efficiency.

    Qualifications

    • Education: Bachelor's degree in Electrical Engineering, Computer Engineering, or Computer Science, or equivalent practical experience.
    • Experience: 5+ years of experience verifying digital logic at the RTL level for ASICs or FPGAs.
    • Methodologies: Deep expertise in industry-standard verification methodologies including SystemVerilog and UVM.
    • Environment Tools: Experience with industry-standard simulators (e.g., Synopsys VCS, Cadence Xcelium) and regression systems.

    Preferred Qualifications

    • Education: Master's degree or PhD in Electrical Engineering or Computer Science, with a heavy emphasis on computer architecture.
    • Domain Knowledge: Direct experience verifying AI/ML Accelerators, GPUs, or highly parallel vector processing units.
    • Advanced Debugging: Familiarity with formal verification tools/languages (e.g., SVA - SystemVerilog Assertions).
    • Software/Scripting: Proficiency in scripting and automation using Python or Shell/Bash.

    Sourced from foundit

    Skills

    PerlUVMSystem VerilogCadence XceliumSynopsys VCSPython

    AI20P Design Verification Engineer · waiting for your command