Senior Formal Verification Engineer

Posted 12 Hours Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
136K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Verify GPU micro-architecture using formal verification tools. Define verification scope, write and implement testplans, create assumptions/assertions/cover properties, develop abstraction models, drive formal tool performance, debug RTL, build flows and scripts, and communicate coverage and results to architects, designers, and verification teams.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re 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 a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

As a Formal Verification Engineer at NVIDIA, you will verify the build and implementation of the industry's leading GPUs. In this position, your responsibilities will be to verify the micro-architecture using formal verification tools, define the verification scope, and ensure correctness. You will employ sophisticated formal techniques to acquire sufficiently bounded proofs while working with architects, designers, and pre- & post-silicon verification teams to accomplish your tasks. You will efficiently complete the formal verification effort for the entire project cycle, delivering high-quality results on schedule, and clearly conveying those results to the team.

What you will be doing:

  • Identify key behaviors for verification to write clear testplans for sophisticated designs.

  • Implement testplans using the latest formal techniques, including the development of environment assumptions, assertions, and cover properties.

  • Develop abstraction models to overcome complexity challenges and acquire full proofs, or bounded proofs with sufficient coverage.

  • Drive formal tools to realize their best performance.

  • Debug RTL to identify causes of failure scenarios.

  • Contribute to flow and script development to improve team efficiency.

  • Articulate formal verification coverage to partners.

What we need to see:

  • BS/MS/PhD or equivalent experience in CS/CE/EE/Mathematics with 5+ years of experience.

  • Understanding of GPU/CPU architectures and engineering work flows.

  • Experience with Verilog / System Verilog HDLs and able to understand sophisticated RTL quickly.

  • Experience with formal tools and knowledge of formal verification methodologies.

  • Able to implement abstraction techniques for effective verification.

  • Strong analytical skills to tackle sophisticated problems.

  • Excellent command of scripting using TCL, Perl, and/or Python.

  • Excellent written and verbal communication.

  • Able to optimally collaborate and work in a distributed team!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 20, 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

  • BS/MS/PhD or equivalent experience in CS/CE/EE/Mathematics with 5+ years of experience
  • Understanding of GPU/CPU architectures and engineering workflows
  • Experience with Verilog / SystemVerilog HDLs and ability to read sophisticated RTL quickly
  • Experience with formal tools and knowledge of formal verification methodologies
  • Ability to implement abstraction techniques for effective verification
  • Strong analytical/problem-solving skills
  • Proficiency in scripting using TCL, Perl, and/or Python
  • Excellent written and verbal communication skills
  • Ability to collaborate and work in a 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.

  • 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.
  • 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.
  • 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.

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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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