ApplySarthi

Senior Physical Verification Engineer

Nvidia

Tailor my CV for this job, freeView job and applyYour CV rewritten for this role, from your real experience. Sign in with Google, nothing to install.

Got this interview? Our apps help you get the job.

Skills named in this job

Read from the description itself, not inferred.

This role on the market

591 open verification roles across 40 companies are on ApplySarthi right now, most of them in Bengaluru (127), Hyderabad (55), Pune (10).

What verification roles keep asking for: Python (37%), Perl (21%), C++ (17%) — counted across their open postings here.

LLMs jobs

Nvidia has 2,496 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for verification roles keep coming back to Python, Perl, C++. Practise those questions before you sit with Nvidia.

Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with LLMs? Tell me one thing you learned the hard way.
  3. What do you do when a production issue happens on your code?
  4. Walk me through a system you built. How was it designed, and what would you change now?
  5. Tell me about a hard bug you tracked down. How did you find the cause?

Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.

Practise the Senior Physical Verification Engineer at Nvidia interview free →

NVIDIA is seeking passionate, highly motivated, and creative design engineers to be part of a team working on industry-leading GPUs and SOCs. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of exceptional people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. What you’ll be doing: In this position, you'll own physical verification for the full chip — taking designs from block-level assembly through full-chip integration and tapeout on the latest process nodes like TSMC A16 and TSMC 3nm. Own full-chip physical verification signoff — DRC, LVS, antenna — across block, partition, and top levels, and drive convergence to a clean tapeout database. Push the frontier of 3D die stacking and heterogeneous integration — verifying die-to-die interfaces and stitching together dies built on entirely different process nodes into a single working system. Be at the leading edge of Angstrom class technology, enabling signoff for breakthroughs like Super Power Rail backside power delivery and nanosheet GAA transistors. Reinvent how signoff is done with AI — building ML- and LLM-powered automation for root-cause analysis, and flow optimization. Partner with the methodology and CAD/technology groups to define and deploy correct-by-construction flows that catch issues early and reduce signoff iterations. Cross-functional collaboration with P&R, Timing, IR, Library team to drive design closure on time. What we need to see: BE/BTECH/MTECH, or equivalent, with 5+ years of experience in Physical Design Verification, full chip integration and tapeouts on the latest technology nodes. Strong understanding of Physical Implementation and VLSI design concepts. Expertise in signoff tools like Calibre, ICV, EDI, FC. Good understanding of the RTL2GDSII concepts related to synthesis, place & route, CTS, timing convergence, layout closure. Good problem-solving skills.

Match this job to your CV

ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.

Check my match →

Similar open roles

Need answers during your interview? Try Live Sarthi.

Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.

Try Live Sarthi free →

A Windows app, from the same team as ApplySarthi.

Listed on workday · posted 2026-10-07. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.