[2027 Internship] NPU Physical Implementation Intern

Job Description [What’s in it for you?] Scripting and flow automation for NPU Physical Implementation Design the system to do data mining for all existing NPU design and Provide recommendations for later new NPU Physical Implementation best PPA recipe Main Requirements and Qualifications [What you will bring] Bachelor’s/Master’s Degree in Good communication and scripting skills like Python/Perl Knowledge in Neural Processing Unit Familiarity, Silicon Debug and/or Functional/Direct Test Verification Familiar with assertion-based verification (SVA) & System Verilog language Knowledge in Processor verification, FPGA verification and/or Formal verification Familiar with Synopsys ICC2/FC (preferred) or Cadence or Magma tools from netlists to GDS is a plus Knowledge in NPU/GPU/CPU processor implementation/power reduction flows and methodology from RTL to GDS (including synthesis, floor-planning, placement, CTS, routing, timing optimization, physical verification) is a plus Knowledge of high-speed/low power IP and custom circuit design is a plus Familiar with power noise and reliability tools such as Redhawk and Voltus