Senior SRAM Engineer, Circuit Design

Posted Yesterday
Be an Early Applicant
Santa Clara, CA, USA
In-Office
136K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and optimize custom SRAM circuits for NVIDIA AI and processor chips, balancing performance, area, and power. Supervise mask layout designers, verify functionality and electrical robustness, and improve automation, data collection, and analysis flows. The role requires SRAM and memory design expertise, scripting with Perl and Python, and collaboration with architecture and design teams. Familiarity with Cadence Virtuoso, SPICE simulation, waveform analysis, static timing, EM/IR analysis, and formal verification is advantageous.
Summary Generated by Built In

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.

Skills Required

  • BS, MS, PhD, or equivalent experience in Electrical Engineering or Computer Engineering
  • Minimum 3 years of circuit design experience
  • Experience with Perl and Python scripting languages
  • Strong understanding of SRAM and memory design techniques and macro or block development
  • Self-motivation, attention to detail, data analysis, communication, and presentation skills
  • Familiarity with Cadence Virtuoso, SPICE simulators, and waveform viewers
  • Experience with static timing analysis, EM and IR analysis, and formal verification flows

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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