---
title: Senior SRAM Engineer, Circuit Design at NVIDIA
description: NVIDIA is hiring for the Senior SRAM Engineer, Circuit Design role in Santa Clara,
  CA. Full-time role. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/senior-sram-engineer-circuit-design-at-nvidia-01a0d090-a0be-75c7-a85a-3e890f0359b8
date: 2026-11-15T01:26:44Z
og_description: Join NVIDIA as Senior SRAM Engineer, Circuit Design in Santa Clara, CA. Pays $136K–$218.5K
  per year. Full-time role.
og_image: https://www.foundrole.com/og/9fwi4m.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
  - label: Search
    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | [NVIDIA](https://www.foundrole.com/companies/nvidia?utm_source=ai_markdown) |
| **Location** | Santa Clara, CA |
| **Salary** | $136K/yr - $218.5K/yr |
| **Posted** | Sep 23, 2026 |

## Is this job real?

**Ghost job check:** A- · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** NVIDIA sponsors H-1B visas. It filed 3,120 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for NVIDIA.

## Pay for similar jobs

Most similar jobs pay $177,000 – $216,000 a year (median $216,000).

## Description

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](https://www.nvidia.com/en-us/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.
## Skills

- Scripting
- Perl
- Self-Motivation
- Python
- Circuit Design
- Static Timing Analysis
- Automation
- Formal Verification
- Cadence Virtuoso
- Statistics
- Presentation Skills
- Data Collection
- Attention to Detail
- Computer Engineering
- InferMed MACRO Electronic Data Capture
- Data Analysis
- Communication
- Demonstration Skills

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