NVIDIA Logo

NVIDIA

Senior ASIC Design Verification Engineer

Sorry, this job was removed Sorry, this job was removed at 08:13 p.m. (PST) on Friday, May 30, 2025
Be an Early Applicant
In-Office
Santa Clara, CA
In-Office
Santa Clara, CA

Similar Jobs

16 Days Ago
In-Office or Remote
Palo Alto, CA, USA
170K-200K
Senior level
170K-200K
Senior level
Artificial Intelligence • Machine Learning • Semiconductor
The Sr. ASIC Design Verification Engineer will verify LPU features, develop verification environments, optimize verification flows, and support silicon debug.
Top Skills: Asic DesignFormal VerificationPerlPower VerificationPythonSystemverilogUvm
18 Days Ago
In-Office
Santa Clara, CA, USA
136K-265K
Senior level
136K-265K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
This role involves unit and sub-system level verification for innovative IPs in GPUs and SoCs, requiring advanced verification methods and strong debugging skills.
Top Skills: PerlQuestaSvaSystem VerilogTclUvmVcsVerilog
12 Days Ago
In-Office
San Jose, CA, USA
200K-300K
Senior level
200K-300K
Senior level
Industrial • Manufacturing
Responsible for all aspects of digital SoC verification, collaborating with architects, designers, and SW engineers on automotive communication semiconductors.
Top Skills: Verilog,System Verilog,Uvm,Python,Tcl,C/C++

NVIDIA is seeking a hardworking Senior ASIC Design Verification Engineer to help drive sign-off strategies for world's leading GPUs and SoCs. This position offers you an outstanding opportunity to influence performance of the next generation GPU and SoC, allowing you to have real impact in a multifaceted, technology-focused company with product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence!

We have crafted a team of highly motivated people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.

What you will be doing:

  • Work as part of Global Circuits Team to develop various innovative IPs for hardware security, clocking, voltage regulation and silicon correlation.

  • Own the unit and sub-system level verification of various IPs, create functional test plans, and verify using advanced verification tools, flows and methodologies.

  • Build and reform world class verification infrastructure and methodologies to meet the unique demands of custom designed IPs.

  • Engage in design specification development by participating in discussions on architecture, intent, and implementation of the various IPs.

  • Enable system level integration by working with partner teams for test development & debug and delivering Verification IPs.

What we need to see:

  • BSEE (or equivalent experience) with 5+ years' experience in unit level or sub-system level verification or MS preferred in Electrical, Computer Engineering with 3+ years’ experience in unit level or sub-system level verification.

  • Proficiency with Object Oriented Programming, System Verilog, Verilog, UVM, SVA and Functional Coverage.

  • Strong skills with VCS or equivalent simulation tools like Questa is required.

  • Strong debugging and analytical skills are required.

  • Have a continuous improvement mentality and passionate about delivering bug-free first silicon.

  • Strong interpersonal skills and ability to work with on-site and remote teams is a plus.

Ways to stand out from the crowd:

  • Experience in verification using random stimulus along with functional coverage and assertion-based verification methodologies is a huge plus.

  • Strong knowledge or work experience in Mixed signal and custom designed IPs solutions.

  • Good understanding of behavioral real number modeling and low level digital or mixed signal design concepts.

  • Strong knowledge or work experience in co-simulation environments such as VCS-XA or equivalent tools, Gate Level Simulation or Formal Equivalence domains.

  • Proficiency in scripting language, such as, Perl, Tcl, Make files and automation methods/algorithms a certain plus.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.

#LI-Hybrid

The base salary range is 136,000 USD - 264,500 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.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account