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NVIDIA

Senior SRAM Engineer, Circuit Design

Reposted 2 Days Ago
Be an Early Applicant
Remote or Hybrid
3 Locations
168K-311K Annually
Senior level
Remote or Hybrid
3 Locations
168K-311K Annually
Senior level
Design and optimize custom SRAM circuits for NVIDIA processing chips, balancing performance, area, and power. Collaborate with mask designers on dense layout, verify functionality and electrical robustness, and improve design automation and analysis flows. The role requires strong SRAM and memory design expertise, scripting skills, and experience with circuit design methodologies and industry tools such as Cadence Virtuoso and SPICE simulators.
The summary above was generated by AI

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 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

What we need to see:

  • BS/MS/PhD (or equivalent experience) in Electrical or Computer Engineering
  • Minimum 6 years of circuit design experience
  • Experience with scripting languages - Perl, Python, Shell
  • Strong 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 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 Functional Verification

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!


#LI-Hybrid

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
168,000 USD – 264,500 USD for Level 4; and 196,000 USD – 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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.

NVIDIA Austin, Texas, USA Office

Austin, United States

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