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AI20P Design Verification Engineer

AI20P Design Verification Engineer

qpisemi
  • Posted a day ago
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Job Description


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.

More Info

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Key Skills

Synopsys VCS

Cadence Xcelium

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