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Physical Design Power Optimization and Modeling Engineer

Nvidia

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271 open optimization roles across 84 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++ (15%), SQL (13%), Stakeholder management (13%) — counted across their open postings here.

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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. How would you design an API for a feature you have worked on?
  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 is looking for best-in-class Physical Design Power Engineer to join our outstanding Networking Silicon Power engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput, lowest latency and best Power! 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 will be doing: Power Optimization of Physical design, of blocks/top-level/fc under challenging constraints. Optimization involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise fixes. Power estimation and power modeling. What we need to see: B.SC./ M.SC. or equivalent experience in Electrical Engineering/Computer Engineering. 1+ years of experience in physical design and/or BE power optimization aspects. Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.). Native ability to leverage modern AI tools to accelerate engineering workflows, productivity, and problem-solving. Knowledge in physical design flows and methodologies (PNR, STA, physical verification) is an advantage. FE design experience is an advantage. Excellent problem-solving, partnership, and interpersonal skills. NVIDIA has 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 2026-09-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.