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ASIC Physical Design Engineer, Netlisting - New College Grad 2026

Nvidia

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2 open netlisting roles across 1 companies are on ApplySarthi right now.

What netlisting roles keep asking for: Deep learning (100%), Perl (100%), Python (100%) — counted across their open postings here.

Deep learning 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 netlisting roles keep coming back to Deep learning, Perl, Python. 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 Deep learning? 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?

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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are now looking for a motivated ASIC Physical Design Engineer, Netlisting to join our dynamic and growing team. If you want to challenge yourself and be a part of something great, join us today! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing! More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence. What you'll be doing: Drive physical design of high-frequency and low-power CPUs, GPUs, SoCs at block level, cluster level, and/or full chip level, with a focus on netlist-related aspects such as equivalence checking, asynchronous checking including clock domain crossing checks and MTBF analysis, logic synthesis, netlist quality checks, etc. Help in ECO generation and implementation. What we need to see: Master's or PhD degree in Electrical or Computer Engineering (or equivalent experience). Shown knowledge in logic equivalence checking/Formal Verification required from RTL to tapeout with industry-standard tools. Understanding of hardware architecture and hands-on skills in RTL/logic design for timing closure. Experience in clock-domain-crossing checking, MTBF analysis, either with EDA tools (i.e., Synopsys or Cadence) or in-house tools. Background with logic synthesis at either block or full-chip level, at project execution and/or flow development. In-depth knowledge of industry standard EDA tools in related fields. Experience in programming and scripting languages, such as, Perl, TCL, Make, Python, etc. Ways to stand out from the crowd: Experience in logic synthesis and equivalence checking/FV. Familiarity with industry tools and flow. Strong hands-on debugging capability and problem-solving skills. Experience improving workflows and productivity through effective AI utilization is a plus. NVIDIA is widely considered to be the leader of AI computing, and one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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Listed on workday · posted 2026-10-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.