NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!
We are now looking for a CAD Layout Design Engineer!
What you'll be doing:
- You will be part of the groundbreaking "Layout Methodology" team with a charter to speed up layout creation, productivity and improve time to market of Nvidia digital IP like SRAM layouts and other custom Analog layout blocks.
- Be the first to conduct an in-depth study of new technology and enable the rest of the design teams to seamlessly start off on new/advanced layout technology.
- Responsible for creating digital IP to enable layout work in new technology: PCELL creation, SRAM leaf cells, Productivity Scripts.
- Coordinate analysis of new technology and translating into guidelines for EMIR, DFM, SRAM layout guidelines etc.
- Investigate next generation tools for layout creation.
- Investigate the applications of Machine Learning / Deep Learning / LLM techniques for layout creation.
What we need to see:
- BE/M-Tech in Electrical & Electronics or equivalent experience.
- 5+ years of experience.
- Proven project cycle and tape out experience in SRAM/Analog layout design.
- Experience in advanced technology nodes like 5,3 or 2 nanometers is a must.
- Solid proficiency / expertise in the Cadence SKILL language is a requirement for this job.
- Experience with PCELL development is a big requirement.
- Solid scripting skills in Python, Perl, Shell is a requirement.
- Good social skills and be an excellent teammate.
- Excellent presentation and influencing skills and ability to communicate new ideas/tools to other groups.
We are an equal opportunity employer and value diversity at our company. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
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.”
.png){kind=logo}
