Formal Verification Engineer - New College Grad 2027

Reposted 19 Hours Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
100K-190K Annually
Entry level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Performs formal verification of RTL units for next-generation CPU and GPU designs. Develops verification plans, test environments, assumptions, assertions, cover properties, and scripts; applies formal techniques to prove digital design correctness; debugs RTL failures; and collaborates with design and verification teams. Requires strong analytical skills, computer architecture and digital logic knowledge, HDL experience, and understanding of temporal logic assertions.
Summary Generated by Built In

As a Formal Verification Engineer at NVIDIA, you will work in the formal verification team for the industry's leading chips. We are looking for outstanding candidates with knowledge of formal methods. The engineer will own the task of formal verification of RTL units for next generation chip designs. This will involve the candidate having deep knowledge of architectural as well as micro-architectural details of the unit. Ideal candidate must have strong analytical skills, computer architecture background and as well as experience in application of effective verification methodology.


What you will be doing:

  • Developing comprehensive FV testplan documents.
  • Identifying key behaviors for verification of DUT and creating a verification plan. 
  • Developing verification environment including environment assumptions, assertions and cover properties in context of the verification plan. 
  • Applying various FV techniques to proof correctness of digital designs.
  • Debugging RTL to identify failure scenarios.
  • Developing scripts to automate the verification process. 
  • Review formal setups and proofs with design and verification teams.

What we need to see:

  • BS or MS in CS/CE/EE/Mathematics or equivalent experience.
  • Strong analytical skills to solve difficult problems.
  • Knowledge/Experience in formal verification techniques.
  • Strong knowledge of architectures of CPU/GPU designs and digital logic. 
  • 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. 
  • Preferable experience with Formal Verification Tools (eg. Jasper, IFV, SMV, SPIN)
  • Excellent communication skills with ability to work with team members and collaborate effectively.

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. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our Formal Verification team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
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.

Applications for this job will be accepted at least until November 3, 2026.

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

  • Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or equivalent experience
  • Strong analytical skills and ability to solve difficult problems
  • Knowledge or experience with formal verification techniques
  • Strong knowledge of CPU/GPU architectures and digital logic
  • Understanding of abstraction techniques for effective verification
  • Hands-on experience with Verilog or SystemVerilog
  • Ability to understand RTL quickly
  • Understanding of temporal logic assertions
  • Experience with formal verification tools such as Jasper, IFV, SMV, or SPIN
  • Excellent communication and collaboration skills

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.

  • Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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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