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Nvidia is known for its collaborative and innovative culture, prioritizing teamwork and creativity to drive technological advancements. The company's structure is organized into various teams, including research and development, engineering, and sales, with a focus on fostering open communication and knowledge sharing across departments. Working at Nvidia may appeal to candidates who are passionate about artificial intelligence, graphics, and high-performance computing, as the company offers opportunities to contribute to cutting-edge projects and collaborate with experts in the field.

How easy is it to get time off at Nvidia?

Most people find it easy to get time off.
100% of people report it’s easy to get time off.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

How easy is it to take sick days at Nvidia?

Most people find it easy to take sick days.
100% of people report that it’s easy to take time off if they are sick.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

Do people at Nvidia get to take their breaks without interruption?

Most people get breaks without interruption.
100% of people report that they get to take their breaks without interruption.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

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Some people feel stressed out here.
40% of people say they often feel stressed out at work.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

Do people at Nvidia recommend working with their team?

Only some people recommend working with their team.
40% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

Do people get enough training when they start at Nvidia?

Some people didn’t get enough training when they started.
40% of people report they didn’t get enough training when they started working here.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

Do people get support to advance at Nvidia?

Most people are given support to advance their career here.
In the last year, 100% of people report being given support to advance their career here.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

Do workers feel well informed about how Nvidia is doing?

Most people feel well informed about how the company is doing.
80% of people feel that they are kept well informed about how the company is doing as a whole.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.
What other companies are hiring for Physical Design Engineer jobs?
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What are the most popular categories at Nvidia?
Infographic showing various Physical Design Engineer job openings at Nvidia in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 86% Physical, 12% Hybrid, and 2% Remote job distribution.
Senior ASIC Physical Design Engineer, Netlisting

Senior ASIC Physical Design Engineer, Netlisting

Nvidia

Santa Clara, CA • Hybrid

Full-time

Posted 9 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

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 which are hard to solve, that only we can pursue, and that matter to the world. This is our life's work, to amplify human inventiveness and intelligence.

We are now looking for a motivated Senior ASIC Physical Design Engineer, Netlisting to join our dynamic and growing team. If you want to challenge yourself and be a part of something great, join us today! 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 which are hard to tackle, that only we can pursue, and that matter to the world. This is our life's work, to amplify human inventiveness and intelligence.

What you'll be doing:

  • You will drive physical design of high-frequency and low-power CPUs, GPUs, SoCs at block level, cluster level, and/or full chip level, with a focus on netlist-related aspects such as equivalence checking, asynchronous checking including clock domain crossing checks and MTBF analysis, logic synthesis, netlist quality checks, etc.

  • Help in all aspects of physical design, such as driving timing convergence, timing constraints generation and management, and ECO generation and implementation.

What we need to see:

  • BS (or equivalent experience) in Electrical or Computer Engineering with 5+ years' experience or MS (or equivalent experience) with 3+ years' experience.

  • Expertise in logic equivalence checking/FV required from RTL to tapeout with industry-standard tools. Deep understanding of hardware architecture and hands-on skills in RTL/logic design for timing closure.

  • Experience in clock-domain-crossing checking, MTBF analysis, either with industry-standard tools or in-house tools.

  • Background with logic synthesis at either block or full-chip level, at project execution and/or flow development.

  • Strong experience in full-chip/sub-chip Static Timing Analysis (STA), timing constraints generation and management, and timing convergence.

  • Expertise and in-depth knowledge of industry standard EDA tools in related fields.

  • Proficiency in programming and scripting languages, such as, Perl, TCL, Make, Python, etc.

Ways to stand out from the crowd:

  • Experience in logic synthesis and equivalence checking/FV. Familiarity with industry tools and flow.

  • Strong hands-on debugging capability and problem-solving skills.

  • Background in DFT timing closure for various modes e.g. scan shift and capture, transition faults, BIST, etc.

  • Candidates who demonstrate experience or a strong drive to improve workflows and productivity through effective AI utilization will stand out.

NVIDIA is widely considered to be the leader of AI computing, and one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, 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 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 14, 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.

What Nvidia employees say

Hours and flexibility

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Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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