NVIDIA is seeking a Formal Verification engineer for the Hardware Engineering team. At NVIDIA, our employees are passionate about parallel and visual computing. We're united in our quest to transform the way graphics are used to tackle some of the most complex problems in computer science. It started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. This is our life’s work — to amplify human imagination and intelligence. And we have only scratched the surface of what we can accomplish when we apply our technology to it.
We need passionate, hardworking, and creative people to help us take on some of these once-in-a-lifetime opportunities. This position offers the opportunity to have real impact in a progressive, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding 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’ll be doing:
Learning state-of-the-art formal verification methodologies
Responsible for applying best-in-class formal methodologies on complex digital designs, IP blocks and SoCs
Taking ownership of verifying a design by developing a robust test plan
Executing it by working with the design team
Coordinating with other verification team members for closure
What we need to see:
B.Tech./ M.Tech. in Electrical Engineering / Computer Science with 1+ year of experience
Strong analytical skills to solve difficult problems
Understanding of abstraction techniques for effective verification
Hands-on experience with HDLs such as Verilog / System Verilog
Ability to understand RTL quickly
Understanding of temporal logic assertions
Skills Required
- B.Tech. or M.Tech. in Electrical Engineering or Computer Science with 1+ year of experience
- Strong analytical skills to solve difficult problems
- Understanding of abstraction techniques for effective verification
- Hands-on experience with HDLs such as Verilog and SystemVerilog
- Ability to understand RTL quickly
- Understanding of temporal logic assertions
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.”
