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Sram Design Engineer Jobs in California (NOW HIRING)

In the implementation engineer role you will also track the PPA targets & development of all the custom/SRAM designs throughout the design cycle from feasibility to GDS. Join us, and you'll help set ...

In the implementation engineer role you will also track the PPA targets & development of all the custom/SRAM designs throughout the design cycle from feasibility to GDS. Join us to strongly influence ...

Showing results 41-60

Sram Design Engineer information

What are the key skills and qualifications needed to thrive as an SRAM design engineer?

To thrive as a Sram Design Engineer, a strong background in electrical engineering, VLSI design, and semiconductor device physics—often supported by a relevant bachelor’s or master’s degree—is essential. Expertise in industry-standard EDA tools like Cadence, Synopsys, and Mentor Graphics, as well as experience with HDL languages such as Verilog or VHDL, is typically required. Attention to detail, problem-solving skills, and the ability to communicate effectively with cross-functional teams are important soft skills for the role. These skills ensure high-quality SRAM design, efficient collaboration, and the ability to meet both performance and reliability targets in advanced integrated circuits.

What are the typical daily responsibilities of an SRAM design engineer?

As a Sram Design Engineer, your daily tasks often include designing and verifying static random-access memory (SRAM) circuits, running simulations to validate performance, and troubleshooting design issues. You’ll collaborate closely with layout engineers, verification teams, and other design engineers to optimize memory architectures and ensure compliance with power, area, and timing specifications. Additionally, you may attend design reviews, document design methodologies, and interact with foundries during tape-out or silicon validation phases. This role frequently involves both independent technical work and teamwork within a multidisciplinary environment focused on delivering high-performance semiconductor products.

What is an SRAM design engineer?

An SRAM Design Engineer is responsible for designing Static Random-Access Memory (SRAM) circuits used in semiconductor chips. They focus on optimizing performance, power consumption, and area efficiency while ensuring reliable functionality. Their work includes transistor-level design, layout, simulation, and verification of SRAM cells, sense amplifiers, and peripheral circuits. They collaborate with process engineers and digital designers to integrate SRAM into larger systems. Strong knowledge of VLSI design, circuit theory, and semiconductor technology is essential for this role.

What are the most commonly searched types of Sram Design Engineer jobs in California? The most popular types of Sram Design Engineer jobs in California are:
What job categories do people searching Sram Design Engineer jobs in California look for? The top searched job categories for Sram Design Engineer jobs in California are:
Infographic showing various Sram Design Engineer job openings in California as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Circuit Design Engineer - New College Grad 2026

Nvidia

Santa Clara, CA • On-site

Full-time

Re-posted 2 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

We are now hiring for a Circuit Design Engineer for Standard Cell and/or ROM. 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. 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, we are increasingly known as "the AI computing company". We are looking to grow our company and teams with the best people in the world. We're rapidly growing our research and development for Inference. We specialize in developing GPU-accelerated Deep Learning software. Researchers around the world are using NVIDIA GPUs to power a revolution in Deep Learning and enabling breakthroughs in numerous areas.

What you will be doing:

  • Work on the cutting edge standard cell libraries and/or custom ROM (Read Only Memory) modules in deep submicron technologies.

  • Drive the concepts of the transistor level standard cell circuit design, modeling and performance analysis process.

  • Lead the function/feasibility verification of new ROM designs and the setup of new design flows.

  • Provide creative new insights to support existing tools and flows and develop new simulations to perform design margin evaluations.

  • Collaborate with cross function teams with regards to standard cell design improvement opportunities. We will improve on our quality checks on the libraries.

What we need to see:

  • MS in Electrical or Computer Engineering (or equivalent experience).

  • We are looking for strong background in deep submicron process issues.

  • Deep understanding of the design and verification of standard cell libraries and/or custom ROMs.

  • Hands-on experience running SPICE simulation, and capability to adapt to new simulation tools.

  • Experience with running EM/IR, aging, noise, margin, and high sigma variation simulations.

  • Hands-on experience of DRC/LVS debug.

  • Experience of designing flip flops, level shifters, math cells and/or custom ROMs, register files, SRAM.

  • Strong proficiency in scripting language, such as, Perl, Tcl, Make, and automation methods/algorithms a certain plus.

  • Excellent teamwork, communication and analytical skills.

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 March 8, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

What Nvidia employees say

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Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993