- 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.
- MS or PhD in Electrical or Computer Engineering (or equivalent experience).
- We are looking for strong background in deep submicron process issues.
- Good understanding on digital circuit design for standard cells, as well as the methodology for timing/power/noise/OCV measurements.
- Experience running SPICE simulation, and capability to adapt to new simulation tools.
- Experience in scripting language, such as, Perl, Tcl, Make, and automation methods/algorithms a certain plus.
- Familiar with Liberty models and its application to digital implementation and sign off flows is a plus
- Having past standard cell library or IP characterization experience is a plus.
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NVIDIA - Circuit Design Engineer, application via RippleMatch - Santa Clara, United States - RippleMatch Opportunities
Description
This role is with Nvidia. Nvidia uses RippleMatch to find top talent.About NVIDIA
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:
The base salary range is 92,000 USD - 178,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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.
