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Senior SRAM Engineer

NVIDIA

Senior SRAM Engineer

full-timePosted: Aug 24, 2026Updated: Aug 27, 2026Santa Clara, CA, US

Job Description

We are now looking for a Senior SRAM Engineer within our Full Custom Memory (FCM) team! The FCM team designs specialized RAM implementations across NVIDIAs 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 processesOptimize circuits for performance, area, and powerCollaborate with mask designers to craft high quality and dense pitch-matched layoutVerify functionality, electrical integrity, and robustnessImprove/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 EngineeringMinimum 12 years of circuit design experienceStrong understanding of SRAM and memory design techniques and macro/block development Ways to stand out from the crowd:Self-motivation, attention to detail, clear data analysis and presentation skillsFamiliarity with industry tools such as Cadence Virtuoso for schematic and layout, SPICE simulators, waveform viewersBackground with developing and using various flows and methodologies, including: Static Timing Analysis, EM and IR analysis, Formal Functional VerificationExperience with scripting languages - Perl, Python, Shell, Verilog 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 that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice, 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 196,000 USD - 310,500 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until August 28, 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.

Locations

  • Santa Clara, CA, US
  • Remote, CA, US (Remote)

Responsibilities

  • Design best-in-class SRAM circuits using state-of-the-art technology processes
  • Optimize circuits for performance, area, and power
  • Collaborate with 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
  • Design best-in-class SRAM circuits using state-of-the-art technology processes
  • Optimize circuits for performance, area, and power
  • Collaborate with 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
  • This posting is for an existing vacancy.
  • NVIDIA uses AI tools in its recruiting processes.

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