AI20P Design Verification Engineer
AI20P Design Verification Engineer
qpisemi5-7 Years
- Posted a day ago
- Be among the first 10 applicants
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.
