SRAM Design Engineer

Posted 11 Hours Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
116K-190K Annually
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and verify embedded SRAM macros at the transistor level, supervise layout, develop SRAM compiler automation, and optimize designs for advanced process nodes. Collaborate with SoC design, silicon testing, and productization teams to meet power, performance, area, and cost objectives. The role also involves silicon characterization, debugging, and using AI coding and analysis tools such as Codex and Claude Code.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.The Digital IP (DIP) group at NVIDIA develops IP for every chip designed at NVIDIA. This group works closely with internal SOC design, silicon testing, and productization teams that turn our IP into products that change the world. One of the roles fulfilled by the DIP group is to develop sophisticated SRAM compilers that are used extensively by our SOC design partners. We are looking to hire a skilled and creative SRAM circuit designer to help achieve these goals in a high-visibility position.


What you'll be doing:

  • Embedded SRAM design: Transistor-level circuit design, supervising layout implementation, physical and logical verification, and debug of SRAM macros.
  • SRAM compiler development: Envisioning, defining, and coding more efficient ways to automate the simultaneous assembly and validation of multiple unique SRAM macros using NVIDIA's extensive compute resources.
  • Advanced development: Exploring the potential of future process nodes and developing techniques to realize optimal power, performance, and area characteristics.
  • Guiding SOC design, silicon test, and productization efforts: Collaborate with SOC design partners to help them achieve their overall performance and cost goals, guide the silicon test and characterization efforts, and working with productization teams to prepare new silicon for the demanding requirements of real-world applications.

What we need to see:

  • BSEE minimum (or equivalent experience), MSEE or PhD
  • 2+ years of professional experience in SRAM design
  • Familiarity with Cadence Virtuoso schematic and layout capture tools
  • Willingness and ability to use AI effectively in day-to-day tasks

Ways to stand out from the crowd

  • Self-motivation, attention to detail, and good written, verbal, and presentation skills are essential to success in this role
  • We rely heavily on AI coding and analysis tools such as Codex and Claude Code. The more developed your skills in this area, the better
  • Silicon testing and debugging experience

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 19, 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

  • Bachelor of Science in Electrical Engineering or equivalent experience
  • At least 2 years of professional SRAM design experience
  • Familiarity with Cadence Virtuoso schematic and layout capture tools
  • Willingness and ability to use AI effectively in day-to-day tasks
  • Master of Science in Electrical Engineering or PhD
  • Self-motivation, attention to detail, and strong written, verbal, and presentation skills
  • Experience with silicon testing and debugging
  • Experience using AI coding and analysis tools such as Codex and Claude Code

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

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.”

Similar Jobs

Samsung Semiconductor, Inc. Logo Samsung Semiconductor, Inc.

Staff Engineer

Semiconductor • Manufacturing
In-Office
San Jose, CA, USA
2298 Employees
163K-253K Annually

NVIDIA Logo NVIDIA

Design Engineer

Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
In-Office
Santa Clara, CA, USA
21960 Employees
116K-219K Annually

NVIDIA Logo NVIDIA

Senior SRAM Engineer, Circuit Design

Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
In-Office
Santa Clara, CA, USA
21960 Employees
136K-265K Annually

Microchip Technology Inc. Logo Microchip Technology Inc.

Staff Engineer

Hardware • Semiconductor
In-Office
San Jose, CA, USA
13393 Employees
91K-232K Annually

Similar Companies Hiring

Unusual Machines, Inc. Thumbnail
Hardware • Robotics
Orlando, FL
300 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
30 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
65 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account