Formal Verification Engineer - New College Grad 2026

Posted 8 Days 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
Verify GPU micro-architecture using formal verification tools: define scope, write and execute testplans, develop assertions and environment assumptions, reason about arithmetic designs and C reference models, debug RTL, improve flows/scripts, and communicate coverage to partners.
Summary Generated by Built In

As a Formal Verification Engineer at NVIDIA, you will verify the design 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 design correctness. You will employ advanced formal techniques to obtain sufficiently bounded proofs while working with architects, designers, and pre- & post-silicon verification teams to accomplish your tasks. You will efficiently execute 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 complex designs.

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

  • Reasoning about arithmetic designs and developing verification strategies targeted to manage complexity of arithmetic design verification using formal techniques.

  • Understand and reason about C reference models and their control flows including using debugging flows. 

  • Drive 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 of the design to partners.

What we need to see:

  • BS/MS/PhD or equivalent experience in CS/CE/EE/Mathematics.

  • Solid understanding of GPU/CPU architectures and designs.

  • Strong analytical skills and ability to reason about arithmetic verification challenges. 

  • Knowledge of formal verification methodologies and techniques.

  • Able to understand arithmetic operations like MUL, FMA, MMA

  • Hands-on experience with C, Verilog / System Verilog HDLs, temporal logic assertions.

  • Excellent command of scripting using Python and Tcl. 

  • Experience with industry strength formal verification tools.

  • Excellent interpersonal skills, able to effectively collaborate and work with members of a distributed team.

Come, join our GPU Formal Verification team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. 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.

Applications for this job will be accepted at least until June 12, 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
  • Solid understanding of GPU/CPU architectures and designs
  • Strong analytical skills and ability to reason about arithmetic verification challenges
  • Knowledge of formal verification methodologies and techniques
  • Ability to understand arithmetic operations like MUL, FMA, MMA
  • Hands-on experience with C
  • Hands-on experience with Verilog / SystemVerilog HDLs
  • Experience with temporal logic assertions
  • Excellent command of scripting using Python and Tcl
  • Experience with industry strength formal verification tools
  • Excellent interpersonal skills and ability to collaborate with distributed teams

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.

NVIDIA Insights

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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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