NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel.
NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!
We need passionate, hard-working, 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. NVIDIA is seeking Formal Verification Engineers for our Hardware Engineering team.
What you’ll be doing:
Prove correctness of design blocks, IPs and SoC components using Formal Verification methods
Prepare testplans and implement them using Formal verification techniques
Experiment with Formal tools and flows to drive performance and quality of results
Collaborate with other members of the design and verification teams to successfully meet verification goals
What we need to see:
B.Tech. / M.Tech. in Electrical Engineering, Computer Science or related fields with 2+ years of relevant experience
Strong analytical skills to tackle complex problems
Strong coding skills in industry-standard scripting or programming languages such as C, Python, Perl or Tcl
Ability to communicate effectively and collaborate in a globally distributed team
#LI-Hybrid
Skills Required
- B.Tech. or M.Tech. in Electrical Engineering, Computer Science, or a related field
- 2+ years of relevant experience
- Strong analytical skills for solving complex problems
- Strong coding skills in C, Python, Perl, Tcl, or similar industry-standard languages
- Effective communication and collaboration skills in a globally distributed team
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.”
