We are now hiring a Circuit Design Engineer for Standard Cell Characterization. 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 processor design in deep submicron technologies, and on standard cell library design and characterization. Driving the concepts of the transistor level circuit design, modeling and performance analysis process.
Support and development of tools using Perl/Python.
We will have creative new insights to support existing tools and flows and develop new simulations to perform timing/power/noise/OCV evaluations.
Collaborate with cross function teams with regards to library issues. We will improve on our quality checks on the library work.
What we need to see:
MS in Electrical or Computer Engineering or equivalent experience
4+ years of experience is preferred.
We are looking for strong background in deep submicron process issues.
Deep understanding of the design, verification and characterization of standard cell libraries. Deep understanding on generating timing/power/noise/OCV views of the standard cells, validation of data and QA process.
Familiar with Liberty models and its application to digital implementation and signoff flows.
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.
We are looking for excellent team-work, communication and analytical skills. You shall be able to learn quickly, hard-working, and are results-oriented.
Having past standard cell library or IP characterization experience is a plus.
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 experience
- Strong background in deep submicron process issues
- Deep understanding of design, verification and characterization of standard cell libraries
- Familiar with Liberty models
- Hands-on experience running SPICE simulation
- Strong proficiency in scripting language, such as, Perl, Tcl, Make
- Excellent team-work, communication and analytical skills
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.
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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.
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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.
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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.”
