Senior SRAM Engineer, Circuit Design

NVIDIA is hiring a Senior SRAM Engineer, Circuit Design in Santa Clara, United States. It pays $136k-$219k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Level classifies it as a senior role.
Level lists 2,700+ other open roles at NVIDIA.

AI in this role

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 other objective job-related factors. The expected base salary ranges for this position are:
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 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.

How we rate this

Senior SRAM Engineer, Circuit Design at NVIDIA rates 26 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.