Senior Dft Verification Engineer

NVIDIA NVIDIA · Semiconductors · Bangalore, India

This role is for a Senior DFT Verification Engineer at NVIDIA, focusing on Design for Testability (DFT) verification, pattern development, and silicon bring-up for various test features. The engineer will also contribute to improving DFT methodologies and AI deployment in processes, working with cross-functional teams. Requires BSEE/MSEE or equivalent experience, proficiency in static timing analysis, ECO, ASIC/Logic Design Flow, HDL, Digital logic design, RTL and Gates verification, simulation, silicon bring-up, BIST architecture, JTAG standards, Scan ATPG, compression techniques, memory test, and scripting knowledge (Perl/Python).

What you'd actually do

  1. As a valued member of our team, you will take end-to-end ownership of DFX verification, pattern development, and silicon bring-up for a range of test features—including JTAG, boundary scan, security mechanisms, reliability tests like HTOL/IDDQ and test clocking—across various test modes, including multiple ATPG configurations in multi-die environments.
  2. Work closely with various DFX teams, CAD, and methodology teams to improve the flows and processes.
  3. In addition, you will help develop and deploy DFT methodologies for our next-generation products.
  4. Be a part of innovation to strive to improve the quality of DFT methods and AI deployment in the processes.
  5. You will also need to work with multi-functional teams to incorporate DFT features into the chip.

Skills

Required

  • BSEE or MSEE from reputed institutions or equivalent experience with 3+ years of experience
  • static timing analysis
  • ECO
  • ASIC/Logic Design Flow
  • HDL
  • Digital logic design
  • RTL and Gates verification
  • simulation
  • silicon bring-up
  • BIST architecture
  • JTAG/IEEE1149.1/1500/1687/1838
  • Scan ATPG
  • compression techniques
  • memory test
  • scripting knowledge (either Perl/Python)

What the JD emphasized

  • end-to-end ownership
  • silicon bring-up
  • DFT methodologies
  • AI deployment in the processes