Senior ASIC Design Verification Engineer

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Santa Clara, CA
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

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 a global circuits team to develop various innovative IPs for Hardware Security, Clocking and Silicon Correlation

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

  • Build and reform verification infrastructure and methodologies to meet the demands of next generation IPs.

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

  • Enable system level integration by working with other teams for test development and debug.

What we need to see:

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

  • Proficiency with Object Oriented Programming, System Verilog, Verilog, UVM.

  • 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.

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.

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

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

  • Prior leadership experience 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.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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