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Senior AI STA Engineer, Sub-chip

Nvidia

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98 open chip roles across 14 companies are on ApplySarthi right now, most of them in Bengaluru (3), Pune (2), Hyderabad (1).

What chip roles keep asking for: Python (15%), Linux (12%) — counted across their open postings here.

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Preparing for this interview

Interviews for chip roles keep coming back to Python, Linux. 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 Linux? Tell me one thing you learned the hard way.
  3. When would you not use machine learning for a problem?
  4. Walk me through a model you built, from the data to how it was used.
  5. How did you know your model was actually good, and not just good on your test set?

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NVIDIA is looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company. What you'll be doing: Perform advanced AI Static Timing Analysis (STA) for complex chiplet and full chip level. AI use for timing optimization and data analysis in STA and PnR . Running and build STA tools for anlyaze and debug timing . Use traditional STA tools like Prime Time, review and debug timing paths, understand constraints, sdc generation, timing ecos generation. Identify convergence risks and work closely with physical design, RTL and DFT teams, ensuring convergence throughout various project stages. Responsible for a full timing closer and quality approval from pre-layout STA model through signoff. What we need to see: B.SC./ M.SC. in Electrical Engineering. At least 5+ years of hands-on STA experience. Experience in Prime Time and signoff methodologies. A great teammate who thrives in a collaborative environment. AI tools orientation or alternatively a desire to learn. Ways to stand out from the crowd: Agentic Frameworks. AI prompting experience. Experience in Linux environments. TCL, Python, shell scripting abilities. Experience with data collection and analysis. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!

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Listed on workday · posted 2026-10-03. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.