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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

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:

• Recently graduated with a MS in Electrical or Computer Engineering or equivalent experience
• We are looking for background in deep submicron process issues.
• Understanding of the design, verification and characterization of standard cell libraries, 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.
• Experience running SPICE simulation, and capability to adapt to new simulation tools.
• 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.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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.

Applications for this job will be accepted at least until June 15, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.