ApplySarthi

CAD Developer, IR, Timing and Physical Design Optimization

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

267 open optimization roles across 83 companies are on ApplySarthi right now, most of them in Bengaluru (7), Hyderabad (3), Delhi NCR (2).

What optimization roles keep asking for: Python (37%), Machine learning (27%), LLMs (22%), PyTorch (19%), C++ (16%), SQL (13%) — counted across their open postings here.

C++ jobs · Perl jobs · Python jobs

Nvidia has 3,820 open roles listed here.

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

Preparing for this interview

Interviews for optimization roles keep coming back to Python, Machine learning, LLMs, PyTorch. 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 C++? Tell me one thing you learned the hard way.
  3. Walk me through a system you built. How was it designed, and what would you change now?
  4. Tell me about a hard bug you tracked down. How did you find the cause?
  5. How do you decide what to test, and what does good code review look like to you?

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 CAD Developer, IR, Timing and Physical Design Optimization at Nvidia interview free →

ASIC-PD team is hiring both junior and senior engineers, whose work scope is physical design from RTL to GSDII: design quality check, synthesis, formal check, partitioning, constraint (for both design and process), async check, timing analysis/fixing/signoff, also all related flow. Join us, you will work together with expertise in all these areas; you will not only work for physical application, but also drive physical friendly design with all related teams: ASIC/P&R/DFT/SI/ARCH etc.; you will work for the most advanced process/technology, the biggest chip in the world. What You’ll Be Doing Invent and optimize new methods for increasing chip frequency while minimizing power consumption across a suite of internal optimization tools. Improve algorithms (in C++) for IR drop optimization, simulation As with any software engineering team, we do write a lot of code, but this is broader than a typical CAD or EDA role. Instead, we as a team own the whole process from discovery and invention of new optimization opportunities, to developing solutions and working directly inside design teams to facilitate deployment. What We Need To See BS, MS, PhD in Electrical Engineering or Computer Science or equivalent experience Minimum 2+ years of relevant experience in CAD software and VLSI hardware design Strength in both CAD software and VLSI design Understanding of VLSI IR drop optimization or simulation and related concepts, including constraints, corner, CCSP, FSDB etc. Demonstrated ability in software development using C++ Strong communication and interpersonal skills Ways To Stand Out From The Crowd Familiarity with RedHawk and typical design flows written in Perl, Tcl, and Python. C++14 or newer experience, such as lambdas and concurrency Experience in high-performance software design including multithreading, distributed computing, efficient memory, and I/O use, etc. Experience in IR drop optimization, calculation

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 2026-09-22. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.