Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
NVIDIA is looking for sharp, curious, and motivated students who are passionate about formal verification, digital design, and computer architecture. In this role, you will help verify advanced processor and accelerator designs using mathematical reasoning, assertions, model checking, and formal verification tools. You do not need to already be an expert in every tool or architecture. We are looking for candidates with strong fundamentals, a problem-solving mindset, and excitement for using formal methods to prove hardware correctness. You will work with experienced formal verification engineers, architects, and RTL designers to understand design intent, identify important behaviors, write assertions and assumptions, debug counterexamples, and help improve the quality of NVIDIA silicon.
What you will be doing:
Learn and apply formal verification techniques to real processor and accelerator designs.
Understand design behavior from specifications, RTL, and discussions with design teams.
Write assumptions, assertions, and cover properties to verify important microarchitectural behavior.
Debug formal failures and counterexamples to identify RTL bugs, property issues, or constraint problems.
Use abstraction, modeling, and scripting to improve proof convergence and team productivity.
Clearly communicate verification progress, coverage, risks, and findings.
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.
Familiarity with Verilog, SystemVerilog.
Programming or scripting experience in Python, Tcl, Perl, C/C++, or similar.
Ability to learn quickly, ask good questions, and collaborate effectively.
Ways to stand out from the crowd:
Hands-on experience with formal tools such as JasperGold, VC Formal, or similar.
Experience writing SystemVerilog Assertions.
Passion for formal verification, digital design, computer architecture, or hardware correctness.
Understanding of CPU, GPU, accelerator, SoC, memory-system, or protocol microarchitecture.
Proven AI applications on engineering enhancement and improvements
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, 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 an inclusive 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
- BS/MS/Ph.D. or equivalent in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics
- Strong analytical and collaboration skills to solve complex problems
- Familiarity with Verilog and SystemVerilog
- Programming or scripting experience in Python, Tcl, Perl, C, or C++ (or similar)
- Ability to learn quickly, ask good questions, and collaborate effectively
- Hands-on experience with formal tools such as JasperGold, VC Formal, or similar
- Experience writing SystemVerilog Assertions (SVA)
- Passion for formal verification, digital design, computer architecture, or hardware correctness
- Understanding of CPU, GPU, accelerator, SoC, memory-system, or protocol microarchitecture
- Proven AI applications on engineering enhancement and improvements
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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