We are looking for a Formal Verification Engineer within our Hardware team!
As a Formal Verification Engineer at NVIDIA, you will verify the design and implementation of the industry's leading GPUs. 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 extraordinary 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:In this position you will use formal verification algorithms to formally prove the correctness of complicated logic problems.
Identify key behaviors for verification to write clear testplans for complex designs.
Implement testplans using innovative formal techniques.
Drive tools to realize their best performance.
Develop flow and script to automate and improve team efficiency.
Collaborate with other teams to help produce bug free, outstanding silicon products.
What we need to see:
BS/MS/Ph.D. or equivalent experience in CS/CE/EE/Mathematics
Strong analytical and collaboration skills to solve complex problems.
Strong coding skills in C, Perl, Python or any other industry-standard scripting languages
Good debugging skills
Excellent communication skills, able to effectively collaborate and work with members of a distributed team.
Ways to stand out from the crowd:
Knowledge of formal verification methodologies, techniques and tools like Jasper.
Hands-on experience with Verilog / System Verilog HDLs, SVA assertions, and able to understand complex RTL code quickly.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most dedicated and talented 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!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills Required
- BS, MS, PhD, or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics
- Strong analytical and collaboration skills
- Strong coding skills in C, Perl, Python, or another industry-standard scripting language
- Good debugging skills
- Excellent communication and distributed-team collaboration skills
- Knowledge of formal verification methodologies, techniques, and tools such as Jasper
- Hands-on experience with Verilog or SystemVerilog HDLs, SVA assertions, and complex RTL code
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.”
