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Senior SRAM Engineer, Circuit Design

Nvidia

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This role on the market

83 open circuit roles across 16 companies are on ApplySarthi right now, most of them in Bengaluru (19), Hyderabad (10), Chennai (2).

What circuit roles keep asking for: Python (18%) — counted across their open postings here.

Nvidia has 2,079 open roles listed here.

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

Preparing for this interview

Interviews for circuit roles keep coming back to 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. How do you decide what to test, and what does good code review look like to you?
  4. Describe a time a deadline forced a trade-off in quality. What did you choose and why?
  5. How would you design an API for a feature you have worked on?

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Practise the Senior SRAM Engineer, Circuit Design at Nvidia interview free →

We are now looking for a Senior SRAM Engineer! The Full Custom Macro team at NVIDIA designs specialized RAM implementations for NVIDIA's wide array of processing chips. Be it high speed, low power, multiport, we engage closely with processor architecture teams to build custom solutions across the entire NVIDIA silicon portfolio. Are you interested in designing circuits for the next generation of AI chips? Join a team of dedicated engineers developing the custom SRAM circuits that help power these chips. What you'll be doing: Design best-in-class SRAM circuits using state-of-the-art technology processes Optimize circuits for performance, area, and power Supervise mask designers to craft high quality and dense pitch-matched layout Verify functionality, electrical integrity, and robustness Improve/develop flows and methodologies to streamline design automation, data collection, and analysis to ensure working silicon What we need to see: BS/MS/PhD (or equivalent experience) in Electrical or Computer Engineering Minimum 3 years of circuit design experience Experience with scripting languages - Perl and Python Strong understanding of SRAM and memory design techniques and macro/block development Ways to stand out from the crowd: Self-motivation, attention to detail, strong data analysis and clear communication and presentation skills Familiarity with industry tools such as Cadence Virtuoso for schematic and layout, SPICE simulators, waveform viewers Background with developing and using various flows and methodologies including: Static Timing analysis, EM and IR analysis, Formal Verification At NVIDIA, we have been at the forefront of innovation for over two decades. Our groundbreaking invention of the GPU in 1999 fueled the growth of PC gaming market, redefined modern computer graphics and revolutionized parallel computing. More recently, our advancements in GPU deep learning sparked the modern AI era, paving the way for the next computing revolution. NVIDIA is a "learning machine," constantly evolving and adapting to seize new opportunities. We seek challenges that are not only hard to tackle but also matter deeply to the world. Our mission is to amplify human imagination and intelligence, and we are dedicated to this life's work. Make the choice and join our diverse team today! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 27, 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 2026-09-23. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.