We are now looking for a SoC ASIC Verification Engineer New Grad! NVIDIA is seeking to hire a verification engineer to verify the world's most powerful SoCs with AI capabilities for self-driving cars, gaming consoles & other automated machines (see https://www.nvidia.com/en-us/data-center/vera-cpu/)
What you'll be doing:
Work with some of the best engineers to define verification strategies and execute plans at full chip level.
Build and continuously reform verification infrastructure and methodologies to meet the demands of next generation CPU.
Work with architects, RTL designers, FPGA, emulation engineers to ensure that verification requirements are met for each project.
What we need to see:
Graduating or recently graduated with a Bachelors, Master's or PhD Degree in EE, CS or CE (or equivalent experience).
Relevant experience in ASIC DV.
Proficiency with at least one of these - C++, Object Oriented Programming, UVM, System Verilog.
Exceptional analytical skills and problem solving skills.
Experience in crafting testbenches, methodologies for large and complex chips.
Solid understanding of verification concepts
Good understanding of basic concepts of CPU or SoC architecture.
Familiarity with verification challenges in large scale designs is a plus!
Experience with verification of SoCs with embedded processors or CPU verification.
Ways to stand out from the crowd:
Ability to handle complex and hard-do-solve problems in programming and verification.
Ambitious and dedicated with strong communication and interpersonal skills.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the brightest people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.Skills Required
- Graduating or recently graduated with a degree in EE, CS or CE
- Relevant experience in ASIC DV
- Proficiency with C++, Object Oriented Programming, UVM, System Verilog
- Experience in crafting testbenches and methodologies for large complex chips
- Solid understanding of verification concepts
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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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