We are looking for a Senior SRAM Circuit Designer! NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We are looking for you.
You will work on the design and development of our next generation of custom SRAM design. As part of the Digital IP Team, work with other team members on the new process design challenges, have the chance to create novel low power and high performance circuits, and develop in-house design and verification flows for SRAM design that would be used on all the NVIDIA products.
What you'll be doing:
Work on the state of the art processor design in advanced technologies, and on the design, verification and characterization of SRAM
Drive the concepts of the transistor level circuit design, modeling and performance analysis process and optimize design for power, timing, area and yield
You'll make the layout floorplan and work with layout designers to optimize it for power and performance
Collaborate with the support development of tools using Perl/Python
We will have creative new ideas to support existing tools and flows
Develop and Perform timing characterization and circuit verification
You'll have a voice to collaborate with cross function teams with regards to sram issues
Use Verilog, VHDL, simulators and waveform debugging tools. Write RTL and perform verification against circuit
What we need to see:
MS in Electrical or Computer Engineering or equivalent experience
6+ years of relevant experience
Strong background in deep submicron process issues
Proven experience on transistor-level circuit design and circuit behavior analysis
Deep background of the design, verification and characterization of SRAM/caches
Strong understanding on generating performance/power/margin data of SRAM, validation of data and QA process
Familiar with EMIR/Aging/Self heating and their impacts to circuit/layout implementations and signoff flows
Expert with ASIC design semi-custom and full-custom flow
Hands-on experience running SPICE simulation, and capability to adapt to new simulation tools
Strong proficiency in scripting language, such as, Perl, Tcl, Make, and automation methods/algorithms a certain plus
Great team-work, communication and analytical skills
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.You will also be eligible for equity and benefits.
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.Skills Required
- MS in Electrical or Computer Engineering or equivalent experience
- 4+ years of relevant experience
- Strong background in deep submicron process issues
- Proven experience on transistor-level circuit design and circuit behavior analysis
- Deep background of the design, verification and characterization of SRAM/caches
- Strong understanding on generating performance/power/margin data of SRAM, validation of data and QA process
- Familiar with EMIR/Aging/Self heating and their impacts to circuit/layout implementations and signoff flows
- Expert with ASIC design semi-custom and full-custom flow
- Hands-on experience running SPICE simulation, and capability to adapt to new simulation tools
- Strong proficiency in scripting language, such as, Perl, Tcl, Make
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
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.”








